Sequence Model-week1编程题3-用LSTM网络生成爵士乐

Improvise a Jazz Solo with an LSTM Network

实现使用LSTM生成音乐的模型，你可以在结束时听你自己的音乐，接下来你将会学习到：

使用LSTM生成音乐
使用深度学习生成你自己的爵士乐

现在加载库，其中，music21可能不在你的环境内，你需要在命令行中执行pip install msgpack以及pip install music21来获取。

from __future__ import print_function
import IPython
import sys
from music21 import *
import numpy as np
from grammar import *
from qa import *
from preprocess import * 
from music_utils import *
from data_utils import *
from keras.models import load_model, Model
from keras.layers import Dense, Activation, Dropout, Input, LSTM, Reshape, Lambda, RepeatVector
from keras.initializers import glorot_uniform
from keras.utils import to_categorical
from keras.optimizers import Adam
from keras import backend as K

1. 问题描述(Problem statement)

使用LSTM生成爵士音乐

1.1 Dataset

IPython.display.Audio('./data/30s_seq.mp3')

我们已经对音乐数据进行了预处理，以按照音乐“值”来呈现它。你可以非正式地将每个“值”视为一个音符，其中包括振幅和持续时间。

例，如果你按下特定的钢琴键0.5秒，那么你刚刚弹奏了一个音符。在音乐理论中，“值”实际上比这更复杂 - 具体而言，它还收集了同时播放多个音符所需的信息。
例如，在播放乐曲时，你可以同时按下两个钢琴键（同时播放多个音符会产生所谓的“和弦”）。但是我们不需要担心音乐理论的细节。

这个作业目标，你需要知道的是我们将获得值的数据集，并将学习RNN模型以生成值序列。

我们的音乐生成系统将使用78个独特的值。运行以下代码以加载原始音乐数据，并将其预处理为值。这可能需要几分钟时间。

X, Y, n_values, indices_values = load_music_utils()
print('shape of X:', X.shape)
print('number of training examples:', X.shape[0])
print('Tx (length of sequence):', X.shape[1])
print('total # of unique values:', n_values)
print('Shape of Y:', Y.shape)

shape of X: (60, 30, 78)
number of training examples: 60
Tx (length of sequence): 30
total # of unique values: 78
Shape of Y: (30, 60, 78)

简单解释下数据集：

X：这个是维度 (m, \(T_x\), 78) 的数组，我们有 m 个训练样本，每个样本被分割为 \(T_x =30\) 的音乐值。在每个时间步，输入的是78个不同的可能值之一，表示为一个one-hot向量。因此，X[i,t,:] 是表示时间t的第i个样本的值的一个 one-hot 向量。
Y：这与“X”基本相同，但向左移动了一步。类似于恐龙命名，我们感兴趣的是使用先前的值来预测下一个值的网络，因此，我们序列模型在给定 \(x^{\langle 1\rangle}, \ldots, x^{\langle t \rangle}\) 时将尝试预测 \(y^{\langle t \rangle}\)。但是，数据Y被重排成维度\((T_y, m, 78)\)，且 \(T_y = T_x\)，这个格式更方便给LSTM喂数据。
n_values：此数据集中唯一值的数量，这应该是78。
indices_values：字典，0-77的数值映射到音乐值的字典。

1.2 模型预览(Overview of our model)

下面将使用的模型的架构：

我们将从一段较长的音乐片段中 随机抽取30个值 来训练模型。因此，我们不会设置第一个输入为 \(x^{\langle 1 \rangle} = \vec{0}\)，因为现在大部分的音频片段都在一个音乐的中间开始，我们设置每个片段具有相同的长度 \(T_x = 30\) 让向量化更容易。

2. 构建模型(Building the model)

在这里，我们将构建和训练一个学习音乐的模型，输入的是维度为 \((m, T_x, 78)\) 的 X，维度为\((T_y, m, 78)\)的 Y，我们使用的是 64维隐藏层的LSTM，所以n_a = 64。

以下是如何创建具有多个输入和输出的Keras模型。如果你正在构建一个RNN网络，即使在测试时也预先给出了整个输入序列 \(x^{\langle 1 \rangle}, x^{\langle 2 \rangle}, \ldots, x^{\langle T_x \rangle}\)

例如，如果输入是单词，输出是一个标签，那么keras有简单的内置函数来构建模型。但是，对于序列生成，在测试时我们并不提前知道 \(x^{\langle t\rangle}\) 的所有值；
相反，我们使用 \(x^{\langle t\rangle} = y^{\langle t-1 \rangle}\) 一次生成一个。你需要实现你自己的for循环来迭代不同的时间步。

函数 djmodel() 将使用for循环，调用LSTM层 \(T_x\) 次，并且重要的是，所有 \(T_x\) 副本具有相同权重。也就是说，它不应该每次都重新初始化权重 - \(T_x\) 步应该具有相同的权重，在Keras中实现具有可共享权重的层的关键步骤是：

定义图层对象（我们将使用全局变量）。
在传播输入时，调用这些对象。

我们将需要的layers objects定义为全局变量，运行下面代码，理解这些layers： Reshape(), LSTM(), Dense().

reshapor = Reshape((1, 78))                        # Used in Step 2.B of djmodel(), below
LSTM_cell = LSTM(n_a, return_state = True)         # Used in Step 2.C
densor = Dense(n_values, activation='softmax')     # Used in Step 2.D

每个reshapor、LSTM_cell和densor都是层对象，我们可以使用它们来实现djmodel()。为了将Keras张量对象X通过其中一个层传播，如果需要多个输入，可以使用 layer_object(X)(或layer_object([X,Y]))。例如，reshapor(X)将通过上面定义的Reshape(1,78)层来传播X。

Exercise: 实现 djmodel()，需要以下两步骤：

创建一个空list "outputs" 来保存LSTM cell 所有time-step的输出。
在 \(t \in 1, \ldots, T_x\) 中循环：

A. 从 X 中选择第 “t” 个时间步向量，选择的向量的维度应该是 (78,)，在keras中创建一个Lambda layer：
- x = Lambda(lambda x: X[:,t,:])(X)
- 查看 Keras文档，了解它的作用。它正在创建一个 "临时" 或 "未命名" 函数 (Lambda 函数所用函数) 它提取出适当的 one-hot向量，并使该函数成为 Keras Layer object应用到X.
B. 把 X 重构(Reshape) 为 (1,78). 可以使用 reshapor() 层.

C. 使用 x 在 LSTM_cell中执行单步传播，要记得使用之前 hidden state \(a\) 和 cell state \(c\) 初始化LSTM_cell：
- a, _, c = LSTM_cell(input_x, initial_state=[previous hidden state, previous cell state])
D. 使用 densor 通过 dense+softmax layer 传播LSTM的输出激活值.

E. 把预测值添加到 "outputs" 列表中.

# GRADED FUNCTION: djmodel

def djmodel(Tx, n_a, n_values):
    """
    Implement the model
    
    Arguments:
    Tx -- length of the sequence in a corpus
    n_a -- the number of activations used in our model
    n_values -- number of unique values in the music data (78)
    
    Returns:
    model -- a keras model with the 
    """
    
    # Define the input of your model with a shape 
    X = Input(shape=(Tx, n_values))
    
    # Define s0, initial hidden state for the decoder LSTM
    a0 = Input(shape=(n_a,), name='a0')
    c0 = Input(shape=(n_a,), name='c0')
    a = a0
    c = c0
    
    ### START CODE HERE ### 
    # Step 1: Create empty list to append the outputs while you iterate (≈1 line)
    outputs = []
    
    # Step 2: Loop
    for t in range(Tx):
        
        # Step 2.A: select the "t"th time step vector from X. 
        x = Lambda(lambda x: X[:,t,:])(X)
        # Step 2.B: Use reshapor to reshape x to be (1, n_values) (≈1 line)
        x = reshapor(x)
        # Step 2.C: Perform one step of the LSTM_cell
        a, _, c = LSTM_cell(x, initial_state=[a, c])
        # Step 2.D: Apply densor to the hidden state output of LSTM_Cell
        out = densor(a)
        # Step 2.E: add the output to "outputs"
        outputs.append(out)
        
    # Step 3: Create model instance
    model = Model([X, a0, c0], outputs)
    
    ### END CODE HERE ###
    
    return model

使用 Tx = 30, n_a = 64(the dimmension of the LSTM activations) 和 n_values = 78 来定义model：

model = djmodel(Tx = 30 , n_a = 64, n_values = 78)

编译被训练的模型，使用 Adam优化和 categorical coss-entropy loss：

opt = Adam(lr=0.01, beta_1=0.9, beta_2=0.999, decay=0.01)

model.compile(optimizer=opt, loss='categorical_crossentropy', metrics=['accuracy'])

初始化 LSTM的 a0 和 c0 为 0

m = 60
a0 = np.zeros((m, n_a))
c0 = np.zeros((m, n_a))

# print(X.shape)  # (60, 30, 78)

拟合模型，把 Y 转换成一个列表，因为cost function 期望 Y 以这种格式提供（每一个时间步的一个列表项）。list(Y)是一个有30个item的列表，其中每个列表项都是维度为 (60, 78) 矩阵，让我们迭代100次：

# print(Y.shape, len(list(Y)))    # (30, 60, 78) 30

model.fit([X, a0, c0], list(Y), epochs=100)

(30, 60, 78) 30
Epoch 1/100
60/60 [==============================] - 19s 314ms/step - loss: 125.7977 - dense_1_loss_1: 4.3546 - dense_1_loss_2: 4.3526 - dense_1_loss_3: 4.3441 - dense_1_loss_4: 4.3390 - dense_1_loss_5: 4.3357 - dense_1_loss_6: 4.3407 - dense_1_loss_7: 4.3445 - dense_1_loss_8: 4.3307 - dense_1_loss_9: 4.3382 - dense_1_loss_10: 4.3404 - dense_1_loss_11: 4.3329 - dense_1_loss_12: 4.3320 - dense_1_loss_13: 4.3400 - dense_1_loss_14: 4.3372 - dense_1_loss_15: 4.3397 - dense_1_loss_16: 4.3303 - dense_1_loss_17: 4.3366 - dense_1_loss_18: 4.3466 - dense_1_loss_19: 4.3298 - dense_1_loss_20: 4.3378 - dense_1_loss_21: 4.3367 - dense_1_loss_22: 4.3380 - dense_1_loss_23: 4.3339 - dense_1_loss_24: 4.3301 - dense_1_loss_25: 4.3423 - dense_1_loss_26: 4.3403 - dense_1_loss_27: 4.3303 - dense_1_loss_28: 4.3267 - dense_1_loss_29: 4.3359 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.0667 - dense_1_acc_3: 0.0500 - dense_1_acc_4: 0.0833 - dense_1_acc_5: 0.1333 - dense_1_acc_6: 0.0667 - dense_1_acc_7: 0.0167 - dense_1_acc_8: 0.0667 - dense_1_acc_9: 0.0500 - dense_1_acc_10: 0.0167 - dense_1_acc_11: 0.0500 - dense_1_acc_12: 0.0667 - dense_1_acc_13: 0.0333 - dense_1_acc_14: 0.0833 - dense_1_acc_15: 0.0833 - dense_1_acc_16: 0.1000 - dense_1_acc_17: 0.0500 - dense_1_acc_18: 0.0333 - dense_1_acc_19: 0.0667 - dense_1_acc_20: 0.0667 - dense_1_acc_21: 0.0333 - dense_1_acc_22: 0.0333 - dense_1_acc_23: 0.0833 - dense_1_acc_24: 0.1000 - dense_1_acc_25: 0.0667 - dense_1_acc_26: 0.0833 - dense_1_acc_27: 0.1500 - dense_1_acc_28: 0.1333 - dense_1_acc_29: 0.1000 - dense_1_acc_30: 0.0167                                  
Epoch 2/100
60/60 [==============================] - 0s 3ms/step - loss: 122.6379 - dense_1_loss_1: 4.3326 - dense_1_loss_2: 4.3086 - dense_1_loss_3: 4.2778 - dense_1_loss_4: 4.2739 - dense_1_loss_5: 4.2504 - dense_1_loss_6: 4.2621 - dense_1_loss_7: 4.2517 - dense_1_loss_8: 4.2252 - dense_1_loss_9: 4.2435 - dense_1_loss_10: 4.2262 - dense_1_loss_11: 4.2214 - dense_1_loss_12: 4.2263 - dense_1_loss_13: 4.2185 - dense_1_loss_14: 4.2061 - dense_1_loss_15: 4.1950 - dense_1_loss_16: 4.2028 - dense_1_loss_17: 4.2081 - dense_1_loss_18: 4.2314 - dense_1_loss_19: 4.1873 - dense_1_loss_20: 4.2280 - dense_1_loss_21: 4.2331 - dense_1_loss_22: 4.2040 - dense_1_loss_23: 4.2199 - dense_1_loss_24: 4.2204 - dense_1_loss_25: 4.2235 - dense_1_loss_26: 4.1923 - dense_1_loss_27: 4.1657 - dense_1_loss_28: 4.1849 - dense_1_loss_29: 4.2171 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.1500 - dense_1_acc_3: 0.1500 - dense_1_acc_4: 0.1500 - dense_1_acc_5: 0.2667 - dense_1_acc_6: 0.1333 - dense_1_acc_7: 0.1333 - dense_1_acc_8: 0.2167 - dense_1_acc_9: 0.1500 - dense_1_acc_10: 0.1833 - dense_1_acc_11: 0.1333 - dense_1_acc_12: 0.1500 - dense_1_acc_13: 0.1833 - dense_1_acc_14: 0.1667 - dense_1_acc_15: 0.2000 - dense_1_acc_16: 0.2000 - dense_1_acc_17: 0.1833 - dense_1_acc_18: 0.1500 - dense_1_acc_19: 0.1833 - dense_1_acc_20: 0.1167 - dense_1_acc_21: 0.1500 - dense_1_acc_22: 0.1333 - dense_1_acc_23: 0.1333 - dense_1_acc_24: 0.2000 - dense_1_acc_25: 0.1833 - dense_1_acc_26: 0.1833 - dense_1_acc_27: 0.2000 - dense_1_acc_28: 0.2000 - dense_1_acc_29: 0.1500 - dense_1_acc_30: 0.0000e+00
Epoch 3/100
60/60 [==============================] - 0s 3ms/step - loss: 116.5064 - dense_1_loss_1: 4.3092 - dense_1_loss_2: 4.2572 - dense_1_loss_3: 4.1908 - dense_1_loss_4: 4.1687 - dense_1_loss_5: 4.1198 - dense_1_loss_6: 4.1413 - dense_1_loss_7: 4.0898 - dense_1_loss_8: 4.0162 - dense_1_loss_9: 4.0055 - dense_1_loss_10: 3.9203 - dense_1_loss_11: 3.8927 - dense_1_loss_12: 4.0545 - dense_1_loss_13: 3.9829 - dense_1_loss_14: 3.8713 - dense_1_loss_15: 3.8982 - dense_1_loss_16: 3.9528 - dense_1_loss_17: 4.0107 - dense_1_loss_18: 4.1170 - dense_1_loss_19: 3.8229 - dense_1_loss_20: 4.0493 - dense_1_loss_21: 4.1200 - dense_1_loss_22: 3.9718 - dense_1_loss_23: 4.0150 - dense_1_loss_24: 3.9912 - dense_1_loss_25: 4.0960 - dense_1_loss_26: 3.7427 - dense_1_loss_27: 3.7657 - dense_1_loss_28: 3.8336 - dense_1_loss_29: 4.0994 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.1667 - dense_1_acc_3: 0.1500 - dense_1_acc_4: 0.1333 - dense_1_acc_5: 0.2333 - dense_1_acc_6: 0.0500 - dense_1_acc_7: 0.1333 - dense_1_acc_8: 0.1833 - dense_1_acc_9: 0.1000 - dense_1_acc_10: 0.1333 - dense_1_acc_11: 0.0833 - dense_1_acc_12: 0.0833 - dense_1_acc_13: 0.0833 - dense_1_acc_14: 0.1167 - dense_1_acc_15: 0.1000 - dense_1_acc_16: 0.0500 - dense_1_acc_17: 0.1333 - dense_1_acc_18: 0.0667 - dense_1_acc_19: 0.1000 - dense_1_acc_20: 0.0333 - dense_1_acc_21: 0.0667 - dense_1_acc_22: 0.0667 - dense_1_acc_23: 0.0500 - dense_1_acc_24: 0.0667 - dense_1_acc_25: 0.0333 - dense_1_acc_26: 0.1167 - dense_1_acc_27: 0.1333 - dense_1_acc_28: 0.0833 - dense_1_acc_29: 0.0833 - dense_1_acc_30: 0.0000e+00    
Epoch 4/100
60/60 [==============================] - 0s 3ms/step - loss: 112.5397 - dense_1_loss_1: 4.2875 - dense_1_loss_2: 4.2067 - dense_1_loss_3: 4.0999 - dense_1_loss_4: 4.0628 - dense_1_loss_5: 3.9631 - dense_1_loss_6: 3.9754 - dense_1_loss_7: 3.9326 - dense_1_loss_8: 3.7577 - dense_1_loss_9: 3.7947 - dense_1_loss_10: 3.6684 - dense_1_loss_11: 3.7238 - dense_1_loss_12: 3.9494 - dense_1_loss_13: 3.7782 - dense_1_loss_14: 3.6621 - dense_1_loss_15: 3.7522 - dense_1_loss_16: 3.7304 - dense_1_loss_17: 3.9046 - dense_1_loss_18: 3.9039 - dense_1_loss_19: 3.6987 - dense_1_loss_20: 3.9690 - dense_1_loss_21: 4.0111 - dense_1_loss_22: 3.8870 - dense_1_loss_23: 3.8095 - dense_1_loss_24: 3.7872 - dense_1_loss_25: 3.9636 - dense_1_loss_26: 3.6922 - dense_1_loss_27: 3.7426 - dense_1_loss_28: 3.7778 - dense_1_loss_29: 4.0477 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.1500 - dense_1_acc_3: 0.2000 - dense_1_acc_4: 0.1667 - dense_1_acc_5: 0.2167 - dense_1_acc_6: 0.1333 - dense_1_acc_7: 0.1333 - dense_1_acc_8: 0.1667 - dense_1_acc_9: 0.1500 - dense_1_acc_10: 0.1167 - dense_1_acc_11: 0.1833 - dense_1_acc_12: 0.0833 - dense_1_acc_13: 0.1500 - dense_1_acc_14: 0.1667 - dense_1_acc_15: 0.0833 - dense_1_acc_16: 0.1333 - dense_1_acc_17: 0.0833 - dense_1_acc_18: 0.1000 - dense_1_acc_19: 0.0833 - dense_1_acc_20: 0.0000e+00 - dense_1_acc_21: 0.0500 - dense_1_acc_22: 0.1000 - dense_1_acc_23: 0.0833 - dense_1_acc_24: 0.0333 - dense_1_acc_25: 0.0667 - dense_1_acc_26: 0.1167 - dense_1_acc_27: 0.0833 - dense_1_acc_28: 0.1333 - dense_1_acc_29: 0.0333 - dense_1_acc_30: 0.0000e+00
Epoch 5/100
60/60 [==============================] - 0s 2ms/step - loss: 109.3722 - dense_1_loss_1: 4.2683 - dense_1_loss_2: 4.1588 - dense_1_loss_3: 4.0308 - dense_1_loss_4: 3.9839 - dense_1_loss_5: 3.8596 - dense_1_loss_6: 3.8590 - dense_1_loss_7: 3.8689 - dense_1_loss_8: 3.6674 - dense_1_loss_9: 3.6728 - dense_1_loss_10: 3.5623 - dense_1_loss_11: 3.6424 - dense_1_loss_12: 3.8932 - dense_1_loss_13: 3.6310 - dense_1_loss_14: 3.5967 - dense_1_loss_15: 3.7081 - dense_1_loss_16: 3.6147 - dense_1_loss_17: 3.7010 - dense_1_loss_18: 3.7351 - dense_1_loss_19: 3.5656 - dense_1_loss_20: 3.7975 - dense_1_loss_21: 3.7712 - dense_1_loss_22: 3.7415 - dense_1_loss_23: 3.6773 - dense_1_loss_24: 3.6429 - dense_1_loss_25: 3.8775 - dense_1_loss_26: 3.5570 - dense_1_loss_27: 3.6268 - dense_1_loss_28: 3.7597 - dense_1_loss_29: 3.9010 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.1000 - dense_1_acc_3: 0.1500 - dense_1_acc_4: 0.1500 - dense_1_acc_5: 0.1500 - dense_1_acc_6: 0.0500 - dense_1_acc_7: 0.1000 - dense_1_acc_8: 0.1000 - dense_1_acc_9: 0.1500 - dense_1_acc_10: 0.1000 - dense_1_acc_11: 0.1167 - dense_1_acc_12: 0.0500 - dense_1_acc_13: 0.1167 - dense_1_acc_14: 0.1333 - dense_1_acc_15: 0.1333 - dense_1_acc_16: 0.1667 - dense_1_acc_17: 0.2000 - dense_1_acc_18: 0.1333 - dense_1_acc_19: 0.1500 - dense_1_acc_20: 0.1167 - dense_1_acc_21: 0.1000 - dense_1_acc_22: 0.1333 - dense_1_acc_23: 0.1167 - dense_1_acc_24: 0.0667 - dense_1_acc_25: 0.1167 - dense_1_acc_26: 0.1667 - dense_1_acc_27: 0.0833 - dense_1_acc_28: 0.1000 - dense_1_acc_29: 0.0833 - dense_1_acc_30: 0.0000e+00
Epoch 6/100
60/60 [==============================] - 0s 2ms/step - loss: 108.0867 - dense_1_loss_1: 4.2509 - dense_1_loss_2: 4.1168 - dense_1_loss_3: 3.9615 - dense_1_loss_4: 3.9062 - dense_1_loss_5: 3.7630 - dense_1_loss_6: 3.7685 - dense_1_loss_7: 3.7983 - dense_1_loss_8: 3.5817 - dense_1_loss_9: 3.5890 - dense_1_loss_10: 3.5109 - dense_1_loss_11: 3.5797 - dense_1_loss_12: 3.8280 - dense_1_loss_13: 3.6232 - dense_1_loss_14: 3.6211 - dense_1_loss_15: 3.6698 - dense_1_loss_16: 3.6198 - dense_1_loss_17: 3.6469 - dense_1_loss_18: 3.6950 - dense_1_loss_19: 3.6232 - dense_1_loss_20: 3.7699 - dense_1_loss_21: 3.7520 - dense_1_loss_22: 3.6760 - dense_1_loss_23: 3.6543 - dense_1_loss_24: 3.5639 - dense_1_loss_25: 3.8296 - dense_1_loss_26: 3.4468 - dense_1_loss_27: 3.6168 - dense_1_loss_28: 3.8022 - dense_1_loss_29: 3.8218 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.0833 - dense_1_acc_3: 0.1500 - dense_1_acc_4: 0.1500 - dense_1_acc_5: 0.1333 - dense_1_acc_6: 0.0500 - dense_1_acc_7: 0.1000 - dense_1_acc_8: 0.1000 - dense_1_acc_9: 0.1333 - dense_1_acc_10: 0.1167 - dense_1_acc_11: 0.0833 - dense_1_acc_12: 0.0500 - dense_1_acc_13: 0.1000 - dense_1_acc_14: 0.1167 - dense_1_acc_15: 0.0667 - dense_1_acc_16: 0.1500 - dense_1_acc_17: 0.2333 - dense_1_acc_18: 0.0333 - dense_1_acc_19: 0.1500 - dense_1_acc_20: 0.1333 - dense_1_acc_21: 0.1333 - dense_1_acc_22: 0.0667 - dense_1_acc_23: 0.1167 - dense_1_acc_24: 0.0833 - dense_1_acc_25: 0.0833 - dense_1_acc_26: 0.1500 - dense_1_acc_27: 0.1000 - dense_1_acc_28: 0.1000 - dense_1_acc_29: 0.1167 - dense_1_acc_30: 0.0000e+00    
Epoch 7/100
60/60 [==============================] - 0s 2ms/step - loss: 103.8930 - dense_1_loss_1: 4.2382 - dense_1_loss_2: 4.0857 - dense_1_loss_3: 3.9053 - dense_1_loss_4: 3.8487 - dense_1_loss_5: 3.6737 - dense_1_loss_6: 3.7210 - dense_1_loss_7: 3.7256 - dense_1_loss_8: 3.4510 - dense_1_loss_9: 3.5242 - dense_1_loss_10: 3.4234 - dense_1_loss_11: 3.4343 - dense_1_loss_12: 3.6753 - dense_1_loss_13: 3.4377 - dense_1_loss_14: 3.3464 - dense_1_loss_15: 3.5030 - dense_1_loss_16: 3.4224 - dense_1_loss_17: 3.4194 - dense_1_loss_18: 3.5219 - dense_1_loss_19: 3.3465 - dense_1_loss_20: 3.5958 - dense_1_loss_21: 3.5271 - dense_1_loss_22: 3.4739 - dense_1_loss_23: 3.4422 - dense_1_loss_24: 3.4390 - dense_1_loss_25: 3.6897 - dense_1_loss_26: 3.3513 - dense_1_loss_27: 3.4474 - dense_1_loss_28: 3.6011 - dense_1_loss_29: 3.6216 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.1667 - dense_1_acc_3: 0.2000 - dense_1_acc_4: 0.1833 - dense_1_acc_5: 0.2833 - dense_1_acc_6: 0.0833 - dense_1_acc_7: 0.1333 - dense_1_acc_8: 0.1833 - dense_1_acc_9: 0.1667 - dense_1_acc_10: 0.1333 - dense_1_acc_11: 0.1667 - dense_1_acc_12: 0.1000 - dense_1_acc_13: 0.1833 - dense_1_acc_14: 0.2000 - dense_1_acc_15: 0.1833 - dense_1_acc_16: 0.2000 - dense_1_acc_17: 0.2500 - dense_1_acc_18: 0.1333 - dense_1_acc_19: 0.1833 - dense_1_acc_20: 0.2167 - dense_1_acc_21: 0.1167 - dense_1_acc_22: 0.1333 - dense_1_acc_23: 0.1500 - dense_1_acc_24: 0.0667 - dense_1_acc_25: 0.1333 - dense_1_acc_26: 0.2333 - dense_1_acc_27: 0.1167 - dense_1_acc_28: 0.1000 - dense_1_acc_29: 0.1167 - dense_1_acc_30: 0.0000e+00
Epoch 8/100
60/60 [==============================] - 0s 2ms/step - loss: 100.5637 - dense_1_loss_1: 4.2247 - dense_1_loss_2: 4.0484 - dense_1_loss_3: 3.8486 - dense_1_loss_4: 3.7777 - dense_1_loss_5: 3.5875 - dense_1_loss_6: 3.6638 - dense_1_loss_7: 3.6380 - dense_1_loss_8: 3.3351 - dense_1_loss_9: 3.4310 - dense_1_loss_10: 3.3314 - dense_1_loss_11: 3.3658 - dense_1_loss_12: 3.5451 - dense_1_loss_13: 3.3172 - dense_1_loss_14: 3.2619 - dense_1_loss_15: 3.3357 - dense_1_loss_16: 3.2681 - dense_1_loss_17: 3.2598 - dense_1_loss_18: 3.3700 - dense_1_loss_19: 3.2892 - dense_1_loss_20: 3.5225 - dense_1_loss_21: 3.3918 - dense_1_loss_22: 3.3632 - dense_1_loss_23: 3.3773 - dense_1_loss_24: 3.2751 - dense_1_loss_25: 3.5087 - dense_1_loss_26: 3.1853 - dense_1_loss_27: 3.2134 - dense_1_loss_28: 3.4509 - dense_1_loss_29: 3.3767 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.2000 - dense_1_acc_3: 0.2167 - dense_1_acc_4: 0.2333 - dense_1_acc_5: 0.2667 - dense_1_acc_6: 0.0833 - dense_1_acc_7: 0.1167 - dense_1_acc_8: 0.1833 - dense_1_acc_9: 0.1500 - dense_1_acc_10: 0.1000 - dense_1_acc_11: 0.1833 - dense_1_acc_12: 0.1333 - dense_1_acc_13: 0.1167 - dense_1_acc_14: 0.1833 - dense_1_acc_15: 0.1500 - dense_1_acc_16: 0.2000 - dense_1_acc_17: 0.2667 - dense_1_acc_18: 0.1333 - dense_1_acc_19: 0.1500 - dense_1_acc_20: 0.2000 - dense_1_acc_21: 0.1333 - dense_1_acc_22: 0.1500 - dense_1_acc_23: 0.1167 - dense_1_acc_24: 0.0833 - dense_1_acc_25: 0.1500 - dense_1_acc_26: 0.1833 - dense_1_acc_27: 0.1500 - dense_1_acc_28: 0.1167 - dense_1_acc_29: 0.2000 - dense_1_acc_30: 0.0000e+00
Epoch 9/100
60/60 [==============================] - 0s 2ms/step - loss: 97.6538 - dense_1_loss_1: 4.2129 - dense_1_loss_2: 4.0140 - dense_1_loss_3: 3.7859 - dense_1_loss_4: 3.7113 - dense_1_loss_5: 3.4915 - dense_1_loss_6: 3.5985 - dense_1_loss_7: 3.5351 - dense_1_loss_8: 3.2549 - dense_1_loss_9: 3.3474 - dense_1_loss_10: 3.2364 - dense_1_loss_11: 3.2461 - dense_1_loss_12: 3.4407 - dense_1_loss_13: 3.2169 - dense_1_loss_14: 3.1409 - dense_1_loss_15: 3.1597 - dense_1_loss_16: 3.2155 - dense_1_loss_17: 3.1377 - dense_1_loss_18: 3.2473 - dense_1_loss_19: 3.1737 - dense_1_loss_20: 3.3686 - dense_1_loss_21: 3.3245 - dense_1_loss_22: 3.1831 - dense_1_loss_23: 3.2586 - dense_1_loss_24: 3.1811 - dense_1_loss_25: 3.4273 - dense_1_loss_26: 2.9959 - dense_1_loss_27: 3.1855 - dense_1_loss_28: 3.2751 - dense_1_loss_29: 3.2877 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0333 - dense_1_acc_2: 0.1500 - dense_1_acc_3: 0.2167 - dense_1_acc_4: 0.2000 - dense_1_acc_5: 0.2333 - dense_1_acc_6: 0.0833 - dense_1_acc_7: 0.1167 - dense_1_acc_8: 0.1833 - dense_1_acc_9: 0.1500 - dense_1_acc_10: 0.1500 - dense_1_acc_11: 0.1500 - dense_1_acc_12: 0.1000 - dense_1_acc_13: 0.1333 - dense_1_acc_14: 0.1833 - dense_1_acc_15: 0.1500 - dense_1_acc_16: 0.2167 - dense_1_acc_17: 0.2500 - dense_1_acc_18: 0.1667 - dense_1_acc_19: 0.1833 - dense_1_acc_20: 0.2167 - dense_1_acc_21: 0.1667 - dense_1_acc_22: 0.1500 - dense_1_acc_23: 0.1833 - dense_1_acc_24: 0.0833 - dense_1_acc_25: 0.1333 - dense_1_acc_26: 0.2500 - dense_1_acc_27: 0.0667 - dense_1_acc_28: 0.1667 - dense_1_acc_29: 0.1667 - dense_1_acc_30: 0.0000e+00
Epoch 10/100
60/60 [==============================] - 0s 2ms/step - loss: 94.5077 - dense_1_loss_1: 4.2015 - dense_1_loss_2: 3.9753 - dense_1_loss_3: 3.7196 - dense_1_loss_4: 3.6295 - dense_1_loss_5: 3.3847 - dense_1_loss_6: 3.5107 - dense_1_loss_7: 3.4479 - dense_1_loss_8: 3.1222 - dense_1_loss_9: 3.2076 - dense_1_loss_10: 3.0990 - dense_1_loss_11: 3.1676 - dense_1_loss_12: 3.2743 - dense_1_loss_13: 3.0354 - dense_1_loss_14: 2.9962 - dense_1_loss_15: 3.0603 - dense_1_loss_16: 3.0755 - dense_1_loss_17: 2.9575 - dense_1_loss_18: 3.1052 - dense_1_loss_19: 2.9998 - dense_1_loss_20: 3.3360 - dense_1_loss_21: 3.1840 - dense_1_loss_22: 3.1216 - dense_1_loss_23: 3.2225 - dense_1_loss_24: 3.0645 - dense_1_loss_25: 3.2708 - dense_1_loss_26: 2.9672 - dense_1_loss_27: 2.9512 - dense_1_loss_28: 3.2526 - dense_1_loss_29: 3.1675 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0333 - dense_1_acc_2: 0.1167 - dense_1_acc_3: 0.2167 - dense_1_acc_4: 0.1500 - dense_1_acc_5: 0.2833 - dense_1_acc_6: 0.0833 - dense_1_acc_7: 0.1000 - dense_1_acc_8: 0.1833 - dense_1_acc_9: 0.2000 - dense_1_acc_10: 0.1500 - dense_1_acc_11: 0.1833 - dense_1_acc_12: 0.1500 - dense_1_acc_13: 0.1500 - dense_1_acc_14: 0.1667 - dense_1_acc_15: 0.1500 - dense_1_acc_16: 0.1833 - dense_1_acc_17: 0.2500 - dense_1_acc_18: 0.1167 - dense_1_acc_19: 0.2000 - dense_1_acc_20: 0.1667 - dense_1_acc_21: 0.1167 - dense_1_acc_22: 0.1500 - dense_1_acc_23: 0.1333 - dense_1_acc_24: 0.0667 - dense_1_acc_25: 0.1833 - dense_1_acc_26: 0.1833 - dense_1_acc_27: 0.1833 - dense_1_acc_28: 0.1333 - dense_1_acc_29: 0.2000 - dense_1_acc_30: 0.0000e+00
Epoch 11/100
60/60 [==============================] - 0s 2ms/step - loss: 90.5518 - dense_1_loss_1: 4.1910 - dense_1_loss_2: 3.9385 - dense_1_loss_3: 3.6594 - dense_1_loss_4: 3.5486 - dense_1_loss_5: 3.2944 - dense_1_loss_6: 3.4155 - dense_1_loss_7: 3.3324 - dense_1_loss_8: 3.0174 - dense_1_loss_9: 3.0827 - dense_1_loss_10: 2.9771 - dense_1_loss_11: 3.0266 - dense_1_loss_12: 3.1418 - dense_1_loss_13: 2.8959 - dense_1_loss_14: 2.8912 - dense_1_loss_15: 2.9084 - dense_1_loss_16: 3.0064 - dense_1_loss_17: 2.8210 - dense_1_loss_18: 2.9839 - dense_1_loss_19: 2.8749 - dense_1_loss_20: 3.1386 - dense_1_loss_21: 3.0156 - dense_1_loss_22: 2.9231 - dense_1_loss_23: 2.9384 - dense_1_loss_24: 2.8513 - dense_1_loss_25: 3.1007 - dense_1_loss_26: 2.7463 - dense_1_loss_27: 2.8255 - dense_1_loss_28: 3.0031 - dense_1_loss_29: 3.0021 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0333 - dense_1_acc_2: 0.1500 - dense_1_acc_3: 0.2500 - dense_1_acc_4: 0.2500 - dense_1_acc_5: 0.2667 - dense_1_acc_6: 0.0833 - dense_1_acc_7: 0.1333 - dense_1_acc_8: 0.2000 - dense_1_acc_9: 0.1667 - dense_1_acc_10: 0.1833 - dense_1_acc_11: 0.1667 - dense_1_acc_12: 0.1500 - dense_1_acc_13: 0.2667 - dense_1_acc_14: 0.2167 - dense_1_acc_15: 0.1833 - dense_1_acc_16: 0.2000 - dense_1_acc_17: 0.3000 - dense_1_acc_18: 0.1667 - dense_1_acc_19: 0.2333 - dense_1_acc_20: 0.2333 - dense_1_acc_21: 0.1833 - dense_1_acc_22: 0.1833 - dense_1_acc_23: 0.2500 - dense_1_acc_24: 0.1333 - dense_1_acc_25: 0.1667 - dense_1_acc_26: 0.3167 - dense_1_acc_27: 0.2167 - dense_1_acc_28: 0.2000 - dense_1_acc_29: 0.1833 - dense_1_acc_30: 0.0000e+00
Epoch 12/100
60/60 [==============================] - 0s 3ms/step - loss: 87.1859 - dense_1_loss_1: 4.1808 - dense_1_loss_2: 3.8989 - dense_1_loss_3: 3.5895 - dense_1_loss_4: 3.4616 - dense_1_loss_5: 3.1889 - dense_1_loss_6: 3.2854 - dense_1_loss_7: 3.2092 - dense_1_loss_8: 2.9227 - dense_1_loss_9: 2.9535 - dense_1_loss_10: 2.8391 - dense_1_loss_11: 2.9101 - dense_1_loss_12: 2.9845 - dense_1_loss_13: 2.7465 - dense_1_loss_14: 2.7550 - dense_1_loss_15: 2.7654 - dense_1_loss_16: 2.9037 - dense_1_loss_17: 2.6879 - dense_1_loss_18: 2.8540 - dense_1_loss_19: 2.7448 - dense_1_loss_20: 2.9551 - dense_1_loss_21: 2.9016 - dense_1_loss_22: 2.8120 - dense_1_loss_23: 2.8517 - dense_1_loss_24: 2.7128 - dense_1_loss_25: 2.9469 - dense_1_loss_26: 2.6279 - dense_1_loss_27: 2.7803 - dense_1_loss_28: 2.8488 - dense_1_loss_29: 2.8670 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.2000 - dense_1_acc_3: 0.2500 - dense_1_acc_4: 0.2833 - dense_1_acc_5: 0.3167 - dense_1_acc_6: 0.1333 - dense_1_acc_7: 0.2000 - dense_1_acc_8: 0.2667 - dense_1_acc_9: 0.2000 - dense_1_acc_10: 0.2500 - dense_1_acc_11: 0.1667 - dense_1_acc_12: 0.1333 - dense_1_acc_13: 0.3000 - dense_1_acc_14: 0.2500 - dense_1_acc_15: 0.2500 - dense_1_acc_16: 0.2667 - dense_1_acc_17: 0.3333 - dense_1_acc_18: 0.1833 - dense_1_acc_19: 0.2167 - dense_1_acc_20: 0.2500 - dense_1_acc_21: 0.2333 - dense_1_acc_22: 0.2000 - dense_1_acc_23: 0.2667 - dense_1_acc_24: 0.1500 - dense_1_acc_25: 0.1833 - dense_1_acc_26: 0.3000 - dense_1_acc_27: 0.2167 - dense_1_acc_28: 0.2500 - dense_1_acc_29: 0.1667 - dense_1_acc_30: 0.0000e+00
Epoch 13/100
60/60 [==============================] - ETA: 0s - loss: 82.1174 - dense_1_loss_1: 4.2224 - dense_1_loss_2: 3.8586 - dense_1_loss_3: 3.5017 - dense_1_loss_4: 3.2271 - dense_1_loss_5: 2.8925 - dense_1_loss_6: 3.0915 - dense_1_loss_7: 3.1799 - dense_1_loss_8: 2.7774 - dense_1_loss_9: 2.5569 - dense_1_loss_10: 2.6189 - dense_1_loss_11: 2.7944 - dense_1_loss_12: 3.0989 - dense_1_loss_13: 2.5184 - dense_1_loss_14: 2.4656 - dense_1_loss_15: 2.6785 - dense_1_loss_16: 2.4916 - dense_1_loss_17: 2.4808 - dense_1_loss_18: 2.6075 - dense_1_loss_19: 2.6400 - dense_1_loss_20: 2.6781 - dense_1_loss_21: 2.7208 - dense_1_loss_22: 2.7776 - dense_1_loss_23: 2.6270 - dense_1_loss_24: 2.6346 - dense_1_loss_25: 2.8020 - dense_1_loss_26: 2.3756 - dense_1_loss_27: 2.5356 - dense_1_loss_28: 2.6989 - dense_1_loss_29: 2.5646 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0938 - dense_1_acc_2: 0.2188 - dense_1_acc_3: 0.3438 - dense_1_acc_4: 0.4062 - dense_1_acc_5: 0.3750 - dense_1_acc_6: 0.1562 - dense_1_acc_7: 0.1562 - dense_1_acc_8: 0.2500 - dense_1_acc_9: 0.3750 - dense_1_acc_10: 0.2812 - dense_1_acc_11: 0.2188 - dense_1_acc_12: 0.1250 - dense_1_acc_13: 0.2500 - dense_1_acc_14: 0.2812 - dense_1_acc_15: 0.2500 - dense_1_acc_16: 0.2812 - dense_1_acc_17: 0.3125 - dense_1_acc_18: 0.1875 - dense_1_acc_19: 0.1250 - dense_1_acc_20: 0.3125 - dense_1_acc_21: 0.2500 - dense_1_acc_22: 0.1562 - dense_1_acc_23: 0.2188 - dense_1_acc_24: 0.0938 - dense_1_acc_25: 0.1250 - dense_1_acc_26: 0.3750 - dense_1_acc_27: 0.1562 - dense_1_acc_28: 0.1875 - dense_1_acc_29: 0.2812 - dense_1_acc_30: 0.0000e+ - 0s 3ms/step - loss: 83.5233 - dense_1_loss_1: 4.1701 - dense_1_loss_2: 3.8576 - dense_1_loss_3: 3.5164 - dense_1_loss_4: 3.3676 - dense_1_loss_5: 3.0747 - dense_1_loss_6: 3.1431 - dense_1_loss_7: 3.1010 - dense_1_loss_8: 2.7814 - dense_1_loss_9: 2.8180 - dense_1_loss_10: 2.6978 - dense_1_loss_11: 2.8173 - dense_1_loss_12: 2.8441 - dense_1_loss_13: 2.5778 - dense_1_loss_14: 2.5753 - dense_1_loss_15: 2.6941 - dense_1_loss_16: 2.7487 - dense_1_loss_17: 2.4578 - dense_1_loss_18: 2.7103 - dense_1_loss_19: 2.5794 - dense_1_loss_20: 2.8230 - dense_1_loss_21: 2.7426 - dense_1_loss_22: 2.7192 - dense_1_loss_23: 2.7729 - dense_1_loss_24: 2.5449 - dense_1_loss_25: 2.8469 - dense_1_loss_26: 2.5397 - dense_1_loss_27: 2.6301 - dense_1_loss_28: 2.6810 - dense_1_loss_29: 2.6906 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.2000 - dense_1_acc_3: 0.3000 - dense_1_acc_4: 0.2833 - dense_1_acc_5: 0.3500 - dense_1_acc_6: 0.1333 - dense_1_acc_7: 0.2333 - dense_1_acc_8: 0.3000 - dense_1_acc_9: 0.2500 - dense_1_acc_10: 0.2667 - dense_1_acc_11: 0.1833 - dense_1_acc_12: 0.1333 - dense_1_acc_13: 0.2667 - dense_1_acc_14: 0.2500 - dense_1_acc_15: 0.2667 - dense_1_acc_16: 0.2000 - dense_1_acc_17: 0.3333 - dense_1_acc_18: 0.1667 - dense_1_acc_19: 0.2000 - dense_1_acc_20: 0.2500 - dense_1_acc_21: 0.2500 - dense_1_acc_22: 0.1667 - dense_1_acc_23: 0.1833 - dense_1_acc_24: 0.1833 - dense_1_acc_25: 0.1333 - dense_1_acc_26: 0.3000 - dense_1_acc_27: 0.1833 - dense_1_acc_28: 0.2167 - dense_1_acc_29: 0.2333 - dense_1_acc_30: 0.0000e+00
Epoch 14/100
60/60 [==============================] - 0s 2ms/step - loss: 79.5880 - dense_1_loss_1: 4.1616 - dense_1_loss_2: 3.8145 - dense_1_loss_3: 3.4330 - dense_1_loss_4: 3.2622 - dense_1_loss_5: 2.9531 - dense_1_loss_6: 2.9997 - dense_1_loss_7: 2.9812 - dense_1_loss_8: 2.6205 - dense_1_loss_9: 2.6600 - dense_1_loss_10: 2.5606 - dense_1_loss_11: 2.6819 - dense_1_loss_12: 2.7294 - dense_1_loss_13: 2.4227 - dense_1_loss_14: 2.4622 - dense_1_loss_15: 2.6156 - dense_1_loss_16: 2.5417 - dense_1_loss_17: 2.3775 - dense_1_loss_18: 2.5938 - dense_1_loss_19: 2.4494 - dense_1_loss_20: 2.6307 - dense_1_loss_21: 2.5532 - dense_1_loss_22: 2.5047 - dense_1_loss_23: 2.5582 - dense_1_loss_24: 2.3443 - dense_1_loss_25: 2.7281 - dense_1_loss_26: 2.3558 - dense_1_loss_27: 2.5472 - dense_1_loss_28: 2.5273 - dense_1_loss_29: 2.5178 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.1833 - dense_1_acc_3: 0.3000 - dense_1_acc_4: 0.3000 - dense_1_acc_5: 0.3667 - dense_1_acc_6: 0.1833 - dense_1_acc_7: 0.2833 - dense_1_acc_8: 0.3167 - dense_1_acc_9: 0.2833 - dense_1_acc_10: 0.2833 - dense_1_acc_11: 0.2333 - dense_1_acc_12: 0.1333 - dense_1_acc_13: 0.3667 - dense_1_acc_14: 0.2833 - dense_1_acc_15: 0.2000 - dense_1_acc_16: 0.2500 - dense_1_acc_17: 0.3333 - dense_1_acc_18: 0.2500 - dense_1_acc_19: 0.3000 - dense_1_acc_20: 0.2833 - dense_1_acc_21: 0.3000 - dense_1_acc_22: 0.2667 - dense_1_acc_23: 0.2833 - dense_1_acc_24: 0.2500 - dense_1_acc_25: 0.2000 - dense_1_acc_26: 0.4000 - dense_1_acc_27: 0.2833 - dense_1_acc_28: 0.2667 - dense_1_acc_29: 0.3333 - dense_1_acc_30: 0.0000e+00
Epoch 15/100
60/60 [==============================] - 0s 4ms/step - loss: 75.7343 - dense_1_loss_1: 4.1531 - dense_1_loss_2: 3.7718 - dense_1_loss_3: 3.3510 - dense_1_loss_4: 3.1671 - dense_1_loss_5: 2.8436 - dense_1_loss_6: 2.8611 - dense_1_loss_7: 2.8422 - dense_1_loss_8: 2.4536 - dense_1_loss_9: 2.5180 - dense_1_loss_10: 2.4452 - dense_1_loss_11: 2.5421 - dense_1_loss_12: 2.5206 - dense_1_loss_13: 2.2906 - dense_1_loss_14: 2.3022 - dense_1_loss_15: 2.4022 - dense_1_loss_16: 2.3899 - dense_1_loss_17: 2.2665 - dense_1_loss_18: 2.4165 - dense_1_loss_19: 2.2795 - dense_1_loss_20: 2.4354 - dense_1_loss_21: 2.4304 - dense_1_loss_22: 2.3353 - dense_1_loss_23: 2.4410 - dense_1_loss_24: 2.2275 - dense_1_loss_25: 2.5568 - dense_1_loss_26: 2.2404 - dense_1_loss_27: 2.4561 - dense_1_loss_28: 2.3955 - dense_1_loss_29: 2.3989 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.2167 - dense_1_acc_3: 0.3500 - dense_1_acc_4: 0.3000 - dense_1_acc_5: 0.3500 - dense_1_acc_6: 0.2167 - dense_1_acc_7: 0.3000 - dense_1_acc_8: 0.3667 - dense_1_acc_9: 0.4333 - dense_1_acc_10: 0.3833 - dense_1_acc_11: 0.3000 - dense_1_acc_12: 0.2833 - dense_1_acc_13: 0.4667 - dense_1_acc_14: 0.4000 - dense_1_acc_15: 0.3833 - dense_1_acc_16: 0.3167 - dense_1_acc_17: 0.3667 - dense_1_acc_18: 0.3000 - dense_1_acc_19: 0.4333 - dense_1_acc_20: 0.3500 - dense_1_acc_21: 0.3167 - dense_1_acc_22: 0.3167 - dense_1_acc_23: 0.3000 - dense_1_acc_24: 0.2333 - dense_1_acc_25: 0.1667 - dense_1_acc_26: 0.4167 - dense_1_acc_27: 0.3167 - dense_1_acc_28: 0.3167 - dense_1_acc_29: 0.3000 - dense_1_acc_30: 0.0000e+00
Epoch 16/100
60/60 [==============================] - 0s 4ms/step - loss: 71.7748 - dense_1_loss_1: 4.1451 - dense_1_loss_2: 3.7296 - dense_1_loss_3: 3.2631 - dense_1_loss_4: 3.0666 - dense_1_loss_5: 2.7274 - dense_1_loss_6: 2.7193 - dense_1_loss_7: 2.6975 - dense_1_loss_8: 2.2796 - dense_1_loss_9: 2.3815 - dense_1_loss_10: 2.3257 - dense_1_loss_11: 2.3607 - dense_1_loss_12: 2.3665 - dense_1_loss_13: 2.1351 - dense_1_loss_14: 2.1532 - dense_1_loss_15: 2.2803 - dense_1_loss_16: 2.1855 - dense_1_loss_17: 2.0913 - dense_1_loss_18: 2.3243 - dense_1_loss_19: 2.1770 - dense_1_loss_20: 2.2572 - dense_1_loss_21: 2.2738 - dense_1_loss_22: 2.1593 - dense_1_loss_23: 2.2638 - dense_1_loss_24: 2.0977 - dense_1_loss_25: 2.4014 - dense_1_loss_26: 2.1162 - dense_1_loss_27: 2.3181 - dense_1_loss_28: 2.2100 - dense_1_loss_29: 2.2681 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.2333 - dense_1_acc_3: 0.3500 - dense_1_acc_4: 0.2833 - dense_1_acc_5: 0.3667 - dense_1_acc_6: 0.2500 - dense_1_acc_7: 0.3000 - dense_1_acc_8: 0.4167 - dense_1_acc_9: 0.4167 - dense_1_acc_10: 0.4000 - dense_1_acc_11: 0.3833 - dense_1_acc_12: 0.4000 - dense_1_acc_13: 0.4500 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4000 - dense_1_acc_16: 0.3333 - dense_1_acc_17: 0.4000 - dense_1_acc_18: 0.3167 - dense_1_acc_19: 0.3167 - dense_1_acc_20: 0.3167 - dense_1_acc_21: 0.3167 - dense_1_acc_22: 0.3167 - dense_1_acc_23: 0.3333 - dense_1_acc_24: 0.3333 - dense_1_acc_25: 0.2167 - dense_1_acc_26: 0.5333 - dense_1_acc_27: 0.3000 - dense_1_acc_28: 0.3500 - dense_1_acc_29: 0.3500 - dense_1_acc_30: 0.0000e+00
Epoch 17/100
60/60 [==============================] - 0s 3ms/step - loss: 67.9843 - dense_1_loss_1: 4.1382 - dense_1_loss_2: 3.6851 - dense_1_loss_3: 3.1700 - dense_1_loss_4: 2.9603 - dense_1_loss_5: 2.6018 - dense_1_loss_6: 2.5739 - dense_1_loss_7: 2.5469 - dense_1_loss_8: 2.1285 - dense_1_loss_9: 2.2157 - dense_1_loss_10: 2.1997 - dense_1_loss_11: 2.2169 - dense_1_loss_12: 2.2258 - dense_1_loss_13: 1.9787 - dense_1_loss_14: 2.0627 - dense_1_loss_15: 2.0936 - dense_1_loss_16: 2.1147 - dense_1_loss_17: 2.0001 - dense_1_loss_18: 2.1647 - dense_1_loss_19: 2.0196 - dense_1_loss_20: 2.0979 - dense_1_loss_21: 2.1037 - dense_1_loss_22: 2.0737 - dense_1_loss_23: 2.0882 - dense_1_loss_24: 2.0456 - dense_1_loss_25: 2.2046 - dense_1_loss_26: 1.9502 - dense_1_loss_27: 2.1649 - dense_1_loss_28: 2.0697 - dense_1_loss_29: 2.0892 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0333 - dense_1_acc_2: 0.2833 - dense_1_acc_3: 0.3500 - dense_1_acc_4: 0.2833 - dense_1_acc_5: 0.4000 - dense_1_acc_6: 0.3000 - dense_1_acc_7: 0.3833 - dense_1_acc_8: 0.4500 - dense_1_acc_9: 0.4167 - dense_1_acc_10: 0.3833 - dense_1_acc_11: 0.3167 - dense_1_acc_12: 0.3667 - dense_1_acc_13: 0.4833 - dense_1_acc_14: 0.4500 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.3333 - dense_1_acc_17: 0.3500 - dense_1_acc_18: 0.3500 - dense_1_acc_19: 0.3667 - dense_1_acc_20: 0.4500 - dense_1_acc_21: 0.3833 - dense_1_acc_22: 0.3000 - dense_1_acc_23: 0.3833 - dense_1_acc_24: 0.3667 - dense_1_acc_25: 0.2667 - dense_1_acc_26: 0.5333 - dense_1_acc_27: 0.4000 - dense_1_acc_28: 0.4167 - dense_1_acc_29: 0.5000 - dense_1_acc_30: 0.0000e+00
Epoch 18/100
60/60 [==============================] - 0s 5ms/step - loss: 64.5543 - dense_1_loss_1: 4.1304 - dense_1_loss_2: 3.6392 - dense_1_loss_3: 3.0780 - dense_1_loss_4: 2.8483 - dense_1_loss_5: 2.4764 - dense_1_loss_6: 2.4238 - dense_1_loss_7: 2.4047 - dense_1_loss_8: 1.9940 - dense_1_loss_9: 2.0582 - dense_1_loss_10: 2.0564 - dense_1_loss_11: 2.0375 - dense_1_loss_12: 2.0760 - dense_1_loss_13: 1.8459 - dense_1_loss_14: 1.9041 - dense_1_loss_15: 1.9952 - dense_1_loss_16: 2.0047 - dense_1_loss_17: 1.8556 - dense_1_loss_18: 2.0866 - dense_1_loss_19: 1.9038 - dense_1_loss_20: 1.9257 - dense_1_loss_21: 1.9737 - dense_1_loss_22: 2.0028 - dense_1_loss_23: 1.9784 - dense_1_loss_24: 1.9685 - dense_1_loss_25: 2.0385 - dense_1_loss_26: 1.8548 - dense_1_loss_27: 2.0422 - dense_1_loss_28: 1.9506 - dense_1_loss_29: 2.0004 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.3000 - dense_1_acc_3: 0.3500 - dense_1_acc_4: 0.2833 - dense_1_acc_5: 0.4167 - dense_1_acc_6: 0.3167 - dense_1_acc_7: 0.3833 - dense_1_acc_8: 0.4333 - dense_1_acc_9: 0.4833 - dense_1_acc_10: 0.4333 - dense_1_acc_11: 0.4167 - dense_1_acc_12: 0.5000 - dense_1_acc_13: 0.5000 - dense_1_acc_14: 0.5000 - dense_1_acc_15: 0.4500 - dense_1_acc_16: 0.4333 - dense_1_acc_17: 0.4500 - dense_1_acc_18: 0.4500 - dense_1_acc_19: 0.4333 - dense_1_acc_20: 0.5500 - dense_1_acc_21: 0.4333 - dense_1_acc_22: 0.3500 - dense_1_acc_23: 0.4833 - dense_1_acc_24: 0.4167 - dense_1_acc_25: 0.3167 - dense_1_acc_26: 0.4667 - dense_1_acc_27: 0.3500 - dense_1_acc_28: 0.4667 - dense_1_acc_29: 0.4500 - dense_1_acc_30: 0.0000e+00
Epoch 19/100
60/60 [==============================] - 0s 3ms/step - loss: 61.3731 - dense_1_loss_1: 4.1221 - dense_1_loss_2: 3.5950 - dense_1_loss_3: 2.9862 - dense_1_loss_4: 2.7335 - dense_1_loss_5: 2.3652 - dense_1_loss_6: 2.3087 - dense_1_loss_7: 2.2646 - dense_1_loss_8: 1.8881 - dense_1_loss_9: 1.9311 - dense_1_loss_10: 1.9326 - dense_1_loss_11: 1.8619 - dense_1_loss_12: 1.9522 - dense_1_loss_13: 1.7477 - dense_1_loss_14: 1.8178 - dense_1_loss_15: 1.8899 - dense_1_loss_16: 1.9292 - dense_1_loss_17: 1.7895 - dense_1_loss_18: 1.9721 - dense_1_loss_19: 1.7709 - dense_1_loss_20: 1.8403 - dense_1_loss_21: 1.8407 - dense_1_loss_22: 1.9154 - dense_1_loss_23: 1.8710 - dense_1_loss_24: 1.8016 - dense_1_loss_25: 1.9069 - dense_1_loss_26: 1.7751 - dense_1_loss_27: 1.9159 - dense_1_loss_28: 1.7716 - dense_1_loss_29: 1.8763 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0500 - dense_1_acc_2: 0.3000 - dense_1_acc_3: 0.3667 - dense_1_acc_4: 0.2833 - dense_1_acc_5: 0.4167 - dense_1_acc_6: 0.3167 - dense_1_acc_7: 0.3833 - dense_1_acc_8: 0.4833 - dense_1_acc_9: 0.5667 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.5167 - dense_1_acc_12: 0.5833 - dense_1_acc_13: 0.6000 - dense_1_acc_14: 0.6167 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.4667 - dense_1_acc_17: 0.4667 - dense_1_acc_18: 0.4833 - dense_1_acc_19: 0.4500 - dense_1_acc_20: 0.4833 - dense_1_acc_21: 0.5000 - dense_1_acc_22: 0.4167 - dense_1_acc_23: 0.5000 - dense_1_acc_24: 0.5333 - dense_1_acc_25: 0.4000 - dense_1_acc_26: 0.5500 - dense_1_acc_27: 0.4667 - dense_1_acc_28: 0.5833 - dense_1_acc_29: 0.5333 - dense_1_acc_30: 0.0000e+00
Epoch 20/100
60/60 [==============================] - 0s 5ms/step - loss: 58.0066 - dense_1_loss_1: 4.1151 - dense_1_loss_2: 3.5493 - dense_1_loss_3: 2.8929 - dense_1_loss_4: 2.6108 - dense_1_loss_5: 2.2538 - dense_1_loss_6: 2.1626 - dense_1_loss_7: 2.0736 - dense_1_loss_8: 1.7828 - dense_1_loss_9: 1.7748 - dense_1_loss_10: 1.7684 - dense_1_loss_11: 1.7497 - dense_1_loss_12: 1.7995 - dense_1_loss_13: 1.6009 - dense_1_loss_14: 1.6931 - dense_1_loss_15: 1.7575 - dense_1_loss_16: 1.7821 - dense_1_loss_17: 1.6743 - dense_1_loss_18: 1.8426 - dense_1_loss_19: 1.6146 - dense_1_loss_20: 1.7142 - dense_1_loss_21: 1.7326 - dense_1_loss_22: 1.7380 - dense_1_loss_23: 1.7055 - dense_1_loss_24: 1.7224 - dense_1_loss_25: 1.8431 - dense_1_loss_26: 1.7100 - dense_1_loss_27: 1.8156 - dense_1_loss_28: 1.7475 - dense_1_loss_29: 1.7794 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.2833 - dense_1_acc_3: 0.3667 - dense_1_acc_4: 0.2833 - dense_1_acc_5: 0.4167 - dense_1_acc_6: 0.4333 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5000 - dense_1_acc_9: 0.5667 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.5000 - dense_1_acc_12: 0.5667 - dense_1_acc_13: 0.6833 - dense_1_acc_14: 0.5833 - dense_1_acc_15: 0.4667 - dense_1_acc_16: 0.4833 - dense_1_acc_17: 0.5333 - dense_1_acc_18: 0.4833 - dense_1_acc_19: 0.5500 - dense_1_acc_20: 0.5500 - dense_1_acc_21: 0.5500 - dense_1_acc_22: 0.4000 - dense_1_acc_23: 0.4667 - dense_1_acc_24: 0.4500 - dense_1_acc_25: 0.3333 - dense_1_acc_26: 0.5167 - dense_1_acc_27: 0.5167 - dense_1_acc_28: 0.5000 - dense_1_acc_29: 0.4833 - dense_1_acc_30: 0.0000e+00
Epoch 21/100
60/60 [==============================] - 0s 3ms/step - loss: 54.8559 - dense_1_loss_1: 4.1075 - dense_1_loss_2: 3.5018 - dense_1_loss_3: 2.7963 - dense_1_loss_4: 2.4932 - dense_1_loss_5: 2.1423 - dense_1_loss_6: 2.0307 - dense_1_loss_7: 1.9220 - dense_1_loss_8: 1.7076 - dense_1_loss_9: 1.6994 - dense_1_loss_10: 1.6965 - dense_1_loss_11: 1.6382 - dense_1_loss_12: 1.7209 - dense_1_loss_13: 1.5203 - dense_1_loss_14: 1.6179 - dense_1_loss_15: 1.6626 - dense_1_loss_16: 1.6841 - dense_1_loss_17: 1.5945 - dense_1_loss_18: 1.7799 - dense_1_loss_19: 1.5208 - dense_1_loss_20: 1.6016 - dense_1_loss_21: 1.5829 - dense_1_loss_22: 1.6493 - dense_1_loss_23: 1.5463 - dense_1_loss_24: 1.5456 - dense_1_loss_25: 1.6442 - dense_1_loss_26: 1.6043 - dense_1_loss_27: 1.6945 - dense_1_loss_28: 1.5728 - dense_1_loss_29: 1.5776 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.2833 - dense_1_acc_3: 0.3667 - dense_1_acc_4: 0.3000 - dense_1_acc_5: 0.4333 - dense_1_acc_6: 0.4833 - dense_1_acc_7: 0.5333 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.5833 - dense_1_acc_10: 0.5500 - dense_1_acc_11: 0.5167 - dense_1_acc_12: 0.5000 - dense_1_acc_13: 0.6500 - dense_1_acc_14: 0.6167 - dense_1_acc_15: 0.5000 - dense_1_acc_16: 0.5000 - dense_1_acc_17: 0.6000 - dense_1_acc_18: 0.5000 - dense_1_acc_19: 0.6000 - dense_1_acc_20: 0.6000 - dense_1_acc_21: 0.6000 - dense_1_acc_22: 0.5500 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.6333 - dense_1_acc_25: 0.4833 - dense_1_acc_26: 0.5667 - dense_1_acc_27: 0.5167 - dense_1_acc_28: 0.6000 - dense_1_acc_29: 0.6000 - dense_1_acc_30: 0.0000e+00
Epoch 22/100
60/60 [==============================] - 0s 3ms/step - loss: 51.6741 - dense_1_loss_1: 4.0992 - dense_1_loss_2: 3.4536 - dense_1_loss_3: 2.6966 - dense_1_loss_4: 2.3776 - dense_1_loss_5: 2.0335 - dense_1_loss_6: 1.9137 - dense_1_loss_7: 1.7732 - dense_1_loss_8: 1.5943 - dense_1_loss_9: 1.5693 - dense_1_loss_10: 1.5380 - dense_1_loss_11: 1.5349 - dense_1_loss_12: 1.5264 - dense_1_loss_13: 1.3811 - dense_1_loss_14: 1.4829 - dense_1_loss_15: 1.5543 - dense_1_loss_16: 1.5542 - dense_1_loss_17: 1.4163 - dense_1_loss_18: 1.6277 - dense_1_loss_19: 1.4165 - dense_1_loss_20: 1.4702 - dense_1_loss_21: 1.5026 - dense_1_loss_22: 1.5378 - dense_1_loss_23: 1.4998 - dense_1_loss_24: 1.4173 - dense_1_loss_25: 1.5567 - dense_1_loss_26: 1.5198 - dense_1_loss_27: 1.6042 - dense_1_loss_28: 1.5562 - dense_1_loss_29: 1.4662 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.3167 - dense_1_acc_3: 0.4167 - dense_1_acc_4: 0.3000 - dense_1_acc_5: 0.4667 - dense_1_acc_6: 0.5000 - dense_1_acc_7: 0.6000 - dense_1_acc_8: 0.5500 - dense_1_acc_9: 0.5500 - dense_1_acc_10: 0.5833 - dense_1_acc_11: 0.5667 - dense_1_acc_12: 0.6667 - dense_1_acc_13: 0.6667 - dense_1_acc_14: 0.6333 - dense_1_acc_15: 0.5833 - dense_1_acc_16: 0.5167 - dense_1_acc_17: 0.6833 - dense_1_acc_18: 0.5000 - dense_1_acc_19: 0.7000 - dense_1_acc_20: 0.6833 - dense_1_acc_21: 0.6667 - dense_1_acc_22: 0.5667 - dense_1_acc_23: 0.6000 - dense_1_acc_24: 0.6833 - dense_1_acc_25: 0.5000 - dense_1_acc_26: 0.6667 - dense_1_acc_27: 0.5500 - dense_1_acc_28: 0.5667 - dense_1_acc_29: 0.7000 - dense_1_acc_30: 0.0000e+00
Epoch 23/100
60/60 [==============================] - 0s 3ms/step - loss: 48.7289 - dense_1_loss_1: 4.0911 - dense_1_loss_2: 3.4034 - dense_1_loss_3: 2.6028 - dense_1_loss_4: 2.2727 - dense_1_loss_5: 1.9389 - dense_1_loss_6: 1.7927 - dense_1_loss_7: 1.6159 - dense_1_loss_8: 1.5233 - dense_1_loss_9: 1.4646 - dense_1_loss_10: 1.4711 - dense_1_loss_11: 1.4095 - dense_1_loss_12: 1.4114 - dense_1_loss_13: 1.2696 - dense_1_loss_14: 1.3463 - dense_1_loss_15: 1.4857 - dense_1_loss_16: 1.4316 - dense_1_loss_17: 1.3369 - dense_1_loss_18: 1.4907 - dense_1_loss_19: 1.3052 - dense_1_loss_20: 1.3724 - dense_1_loss_21: 1.3831 - dense_1_loss_22: 1.4225 - dense_1_loss_23: 1.4023 - dense_1_loss_24: 1.3649 - dense_1_loss_25: 1.4720 - dense_1_loss_26: 1.4338 - dense_1_loss_27: 1.4769 - dense_1_loss_28: 1.3646 - dense_1_loss_29: 1.3730 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.3500 - dense_1_acc_3: 0.4333 - dense_1_acc_4: 0.3000 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.6500 - dense_1_acc_8: 0.6000 - dense_1_acc_9: 0.6167 - dense_1_acc_10: 0.6167 - dense_1_acc_11: 0.5667 - dense_1_acc_12: 0.6500 - dense_1_acc_13: 0.7500 - dense_1_acc_14: 0.7167 - dense_1_acc_15: 0.5500 - dense_1_acc_16: 0.5833 - dense_1_acc_17: 0.6833 - dense_1_acc_18: 0.5333 - dense_1_acc_19: 0.6833 - dense_1_acc_20: 0.6500 - dense_1_acc_21: 0.6833 - dense_1_acc_22: 0.6000 - dense_1_acc_23: 0.6167 - dense_1_acc_24: 0.6000 - dense_1_acc_25: 0.5500 - dense_1_acc_26: 0.7167 - dense_1_acc_27: 0.6167 - dense_1_acc_28: 0.7833 - dense_1_acc_29: 0.6833 - dense_1_acc_30: 0.0000e+00
Epoch 24/100
60/60 [==============================] - 0s 4ms/step - loss: 46.2338 - dense_1_loss_1: 4.0832 - dense_1_loss_2: 3.3527 - dense_1_loss_3: 2.5161 - dense_1_loss_4: 2.1875 - dense_1_loss_5: 1.8598 - dense_1_loss_6: 1.7089 - dense_1_loss_7: 1.5348 - dense_1_loss_8: 1.4213 - dense_1_loss_9: 1.3933 - dense_1_loss_10: 1.3652 - dense_1_loss_11: 1.3370 - dense_1_loss_12: 1.3500 - dense_1_loss_13: 1.2013 - dense_1_loss_14: 1.3106 - dense_1_loss_15: 1.3943 - dense_1_loss_16: 1.3560 - dense_1_loss_17: 1.2394 - dense_1_loss_18: 1.3585 - dense_1_loss_19: 1.2348 - dense_1_loss_20: 1.3000 - dense_1_loss_21: 1.2571 - dense_1_loss_22: 1.3714 - dense_1_loss_23: 1.2884 - dense_1_loss_24: 1.2198 - dense_1_loss_25: 1.3387 - dense_1_loss_26: 1.3265 - dense_1_loss_27: 1.3769 - dense_1_loss_28: 1.2609 - dense_1_loss_29: 1.2894 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.3667 - dense_1_acc_3: 0.4333 - dense_1_acc_4: 0.3333 - dense_1_acc_5: 0.4833 - dense_1_acc_6: 0.5167 - dense_1_acc_7: 0.6833 - dense_1_acc_8: 0.6500 - dense_1_acc_9: 0.6833 - dense_1_acc_10: 0.6833 - dense_1_acc_11: 0.6500 - dense_1_acc_12: 0.7000 - dense_1_acc_13: 0.7333 - dense_1_acc_14: 0.6667 - dense_1_acc_15: 0.5667 - dense_1_acc_16: 0.5333 - dense_1_acc_17: 0.7167 - dense_1_acc_18: 0.5833 - dense_1_acc_19: 0.6833 - dense_1_acc_20: 0.7333 - dense_1_acc_21: 0.7667 - dense_1_acc_22: 0.5833 - dense_1_acc_23: 0.6833 - dense_1_acc_24: 0.7333 - dense_1_acc_25: 0.5833 - dense_1_acc_26: 0.7167 - dense_1_acc_27: 0.6333 - dense_1_acc_28: 0.8167 - dense_1_acc_29: 0.7000 - dense_1_acc_30: 0.0000e+00
Epoch 25/100
60/60 [==============================] - 0s 4ms/step - loss: 43.4672 - dense_1_loss_1: 4.0758 - dense_1_loss_2: 3.3015 - dense_1_loss_3: 2.4274 - dense_1_loss_4: 2.0957 - dense_1_loss_5: 1.7594 - dense_1_loss_6: 1.5899 - dense_1_loss_7: 1.3982 - dense_1_loss_8: 1.3207 - dense_1_loss_9: 1.2913 - dense_1_loss_10: 1.2529 - dense_1_loss_11: 1.2117 - dense_1_loss_12: 1.2289 - dense_1_loss_13: 1.1277 - dense_1_loss_14: 1.1928 - dense_1_loss_15: 1.2730 - dense_1_loss_16: 1.2269 - dense_1_loss_17: 1.1735 - dense_1_loss_18: 1.2404 - dense_1_loss_19: 1.1916 - dense_1_loss_20: 1.2007 - dense_1_loss_21: 1.1745 - dense_1_loss_22: 1.2723 - dense_1_loss_23: 1.1647 - dense_1_loss_24: 1.1524 - dense_1_loss_25: 1.2723 - dense_1_loss_26: 1.2098 - dense_1_loss_27: 1.2902 - dense_1_loss_28: 1.1825 - dense_1_loss_29: 1.1685 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.3667 - dense_1_acc_3: 0.4333 - dense_1_acc_4: 0.3667 - dense_1_acc_5: 0.5167 - dense_1_acc_6: 0.6333 - dense_1_acc_7: 0.7000 - dense_1_acc_8: 0.7167 - dense_1_acc_9: 0.7500 - dense_1_acc_10: 0.6667 - dense_1_acc_11: 0.6833 - dense_1_acc_12: 0.7833 - dense_1_acc_13: 0.8167 - dense_1_acc_14: 0.8333 - dense_1_acc_15: 0.7000 - dense_1_acc_16: 0.7167 - dense_1_acc_17: 0.7833 - dense_1_acc_18: 0.7333 - dense_1_acc_19: 0.6833 - dense_1_acc_20: 0.8167 - dense_1_acc_21: 0.8167 - dense_1_acc_22: 0.6833 - dense_1_acc_23: 0.7833 - dense_1_acc_24: 0.7500 - dense_1_acc_25: 0.6000 - dense_1_acc_26: 0.7667 - dense_1_acc_27: 0.7167 - dense_1_acc_28: 0.8000 - dense_1_acc_29: 0.8167 - dense_1_acc_30: 0.0000e+00
Epoch 26/100
60/60 [==============================] - 0s 3ms/step - loss: 41.1542 - dense_1_loss_1: 4.0683 - dense_1_loss_2: 3.2484 - dense_1_loss_3: 2.3384 - dense_1_loss_4: 2.0021 - dense_1_loss_5: 1.6631 - dense_1_loss_6: 1.4726 - dense_1_loss_7: 1.2775 - dense_1_loss_8: 1.2253 - dense_1_loss_9: 1.2248 - dense_1_loss_10: 1.1936 - dense_1_loss_11: 1.0763 - dense_1_loss_12: 1.1662 - dense_1_loss_13: 1.0490 - dense_1_loss_14: 1.0700 - dense_1_loss_15: 1.1756 - dense_1_loss_16: 1.1570 - dense_1_loss_17: 1.1089 - dense_1_loss_18: 1.1683 - dense_1_loss_19: 1.0910 - dense_1_loss_20: 1.1086 - dense_1_loss_21: 1.1229 - dense_1_loss_22: 1.1643 - dense_1_loss_23: 1.0648 - dense_1_loss_24: 1.1107 - dense_1_loss_25: 1.2115 - dense_1_loss_26: 1.1531 - dense_1_loss_27: 1.2274 - dense_1_loss_28: 1.0920 - dense_1_loss_29: 1.1227 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.3667 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.3667 - dense_1_acc_5: 0.5333 - dense_1_acc_6: 0.6333 - dense_1_acc_7: 0.8333 - dense_1_acc_8: 0.8000 - dense_1_acc_9: 0.7667 - dense_1_acc_10: 0.7833 - dense_1_acc_11: 0.7500 - dense_1_acc_12: 0.8167 - dense_1_acc_13: 0.8667 - dense_1_acc_14: 0.8167 - dense_1_acc_15: 0.7167 - dense_1_acc_16: 0.7500 - dense_1_acc_17: 0.8333 - dense_1_acc_18: 0.8167 - dense_1_acc_19: 0.7833 - dense_1_acc_20: 0.8167 - dense_1_acc_21: 0.8833 - dense_1_acc_22: 0.7500 - dense_1_acc_23: 0.7667 - dense_1_acc_24: 0.7833 - dense_1_acc_25: 0.7000 - dense_1_acc_26: 0.8000 - dense_1_acc_27: 0.7500 - dense_1_acc_28: 0.8167 - dense_1_acc_29: 0.7833 - dense_1_acc_30: 0.0000e+00
Epoch 27/100
60/60 [==============================] - 0s 3ms/step - loss: 39.1600 - dense_1_loss_1: 4.0601 - dense_1_loss_2: 3.1967 - dense_1_loss_3: 2.2593 - dense_1_loss_4: 1.9169 - dense_1_loss_5: 1.5757 - dense_1_loss_6: 1.4008 - dense_1_loss_7: 1.2212 - dense_1_loss_8: 1.1437 - dense_1_loss_9: 1.1245 - dense_1_loss_10: 1.0388 - dense_1_loss_11: 1.0587 - dense_1_loss_12: 1.0776 - dense_1_loss_13: 0.9759 - dense_1_loss_14: 1.0751 - dense_1_loss_15: 1.1250 - dense_1_loss_16: 1.1392 - dense_1_loss_17: 1.0036 - dense_1_loss_18: 1.0408 - dense_1_loss_19: 1.0631 - dense_1_loss_20: 1.0588 - dense_1_loss_21: 1.0892 - dense_1_loss_22: 1.1065 - dense_1_loss_23: 1.0265 - dense_1_loss_24: 0.9896 - dense_1_loss_25: 1.1344 - dense_1_loss_26: 1.0591 - dense_1_loss_27: 1.1568 - dense_1_loss_28: 1.0178 - dense_1_loss_29: 1.0242 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.3333 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.3833 - dense_1_acc_5: 0.5333 - dense_1_acc_6: 0.6667 - dense_1_acc_7: 0.8500 - dense_1_acc_8: 0.8333 - dense_1_acc_9: 0.7500 - dense_1_acc_10: 0.8333 - dense_1_acc_11: 0.7167 - dense_1_acc_12: 0.7833 - dense_1_acc_13: 0.9167 - dense_1_acc_14: 0.8500 - dense_1_acc_15: 0.7667 - dense_1_acc_16: 0.7833 - dense_1_acc_17: 0.8500 - dense_1_acc_18: 0.8333 - dense_1_acc_19: 0.8167 - dense_1_acc_20: 0.8333 - dense_1_acc_21: 0.8833 - dense_1_acc_22: 0.8333 - dense_1_acc_23: 0.8833 - dense_1_acc_24: 0.8833 - dense_1_acc_25: 0.6667 - dense_1_acc_26: 0.8667 - dense_1_acc_27: 0.7500 - dense_1_acc_28: 0.8833 - dense_1_acc_29: 0.8000 - dense_1_acc_30: 0.0000e+00
Epoch 28/100
60/60 [==============================] - 0s 3ms/step - loss: 36.9100 - dense_1_loss_1: 4.0532 - dense_1_loss_2: 3.1461 - dense_1_loss_3: 2.1797 - dense_1_loss_4: 1.8275 - dense_1_loss_5: 1.4893 - dense_1_loss_6: 1.2946 - dense_1_loss_7: 1.1078 - dense_1_loss_8: 1.0725 - dense_1_loss_9: 1.0723 - dense_1_loss_10: 0.9706 - dense_1_loss_11: 0.9799 - dense_1_loss_12: 0.9617 - dense_1_loss_13: 0.9229 - dense_1_loss_14: 0.9789 - dense_1_loss_15: 1.0822 - dense_1_loss_16: 1.0027 - dense_1_loss_17: 0.9793 - dense_1_loss_18: 1.0276 - dense_1_loss_19: 0.9495 - dense_1_loss_20: 0.9703 - dense_1_loss_21: 0.9876 - dense_1_loss_22: 1.0289 - dense_1_loss_23: 0.9696 - dense_1_loss_24: 0.8962 - dense_1_loss_25: 1.0755 - dense_1_loss_26: 1.0139 - dense_1_loss_27: 1.0145 - dense_1_loss_28: 0.9510 - dense_1_loss_29: 0.9042 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.3333 - dense_1_acc_3: 0.4833 - dense_1_acc_4: 0.4167 - dense_1_acc_5: 0.6000 - dense_1_acc_6: 0.7167 - dense_1_acc_7: 0.8500 - dense_1_acc_8: 0.8000 - dense_1_acc_9: 0.8667 - dense_1_acc_10: 0.9333 - dense_1_acc_11: 0.8833 - dense_1_acc_12: 0.9333 - dense_1_acc_13: 0.8833 - dense_1_acc_14: 0.8833 - dense_1_acc_15: 0.7500 - dense_1_acc_16: 0.8833 - dense_1_acc_17: 0.8667 - dense_1_acc_18: 0.7500 - dense_1_acc_19: 0.8500 - dense_1_acc_20: 0.9167 - dense_1_acc_21: 0.8667 - dense_1_acc_22: 0.8500 - dense_1_acc_23: 0.8833 - dense_1_acc_24: 0.8833 - dense_1_acc_25: 0.7000 - dense_1_acc_26: 0.8333 - dense_1_acc_27: 0.7833 - dense_1_acc_28: 0.8833 - dense_1_acc_29: 0.8833 - dense_1_acc_30: 0.0000e+00
Epoch 29/100
60/60 [==============================] - 0s 3ms/step - loss: 34.8755 - dense_1_loss_1: 4.0457 - dense_1_loss_2: 3.0950 - dense_1_loss_3: 2.1046 - dense_1_loss_4: 1.7433 - dense_1_loss_5: 1.4203 - dense_1_loss_6: 1.2172 - dense_1_loss_7: 1.0478 - dense_1_loss_8: 1.0263 - dense_1_loss_9: 0.9666 - dense_1_loss_10: 0.8920 - dense_1_loss_11: 0.8777 - dense_1_loss_12: 0.9052 - dense_1_loss_13: 0.8827 - dense_1_loss_14: 0.8925 - dense_1_loss_15: 0.9470 - dense_1_loss_16: 0.9730 - dense_1_loss_17: 0.9094 - dense_1_loss_18: 0.9106 - dense_1_loss_19: 0.8962 - dense_1_loss_20: 0.9310 - dense_1_loss_21: 0.9069 - dense_1_loss_22: 0.9490 - dense_1_loss_23: 0.8765 - dense_1_loss_24: 0.8588 - dense_1_loss_25: 0.9407 - dense_1_loss_26: 0.9366 - dense_1_loss_27: 0.9803 - dense_1_loss_28: 0.8933 - dense_1_loss_29: 0.8497 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.3333 - dense_1_acc_3: 0.5167 - dense_1_acc_4: 0.4500 - dense_1_acc_5: 0.6333 - dense_1_acc_6: 0.7500 - dense_1_acc_7: 0.8833 - dense_1_acc_8: 0.8167 - dense_1_acc_9: 0.9333 - dense_1_acc_10: 0.9000 - dense_1_acc_11: 0.9000 - dense_1_acc_12: 0.9333 - dense_1_acc_13: 0.9000 - dense_1_acc_14: 0.9000 - dense_1_acc_15: 0.8167 - dense_1_acc_16: 0.9000 - dense_1_acc_17: 0.9167 - dense_1_acc_18: 0.8500 - dense_1_acc_19: 0.8333 - dense_1_acc_20: 0.9167 - dense_1_acc_21: 0.9667 - dense_1_acc_22: 0.9167 - dense_1_acc_23: 0.9333 - dense_1_acc_24: 0.8833 - dense_1_acc_25: 0.8500 - dense_1_acc_26: 0.8667 - dense_1_acc_27: 0.8000 - dense_1_acc_28: 0.9333 - dense_1_acc_29: 0.8667 - dense_1_acc_30: 0.0000e+00
Epoch 30/100
60/60 [==============================] - 0s 3ms/step - loss: 32.6730 - dense_1_loss_1: 4.0384 - dense_1_loss_2: 3.0427 - dense_1_loss_3: 2.0283 - dense_1_loss_4: 1.6626 - dense_1_loss_5: 1.3351 - dense_1_loss_6: 1.1205 - dense_1_loss_7: 0.9819 - dense_1_loss_8: 0.9493 - dense_1_loss_9: 0.8872 - dense_1_loss_10: 0.8428 - dense_1_loss_11: 0.7980 - dense_1_loss_12: 0.8183 - dense_1_loss_13: 0.7973 - dense_1_loss_14: 0.8050 - dense_1_loss_15: 0.9078 - dense_1_loss_16: 0.8802 - dense_1_loss_17: 0.8240 - dense_1_loss_18: 0.8358 - dense_1_loss_19: 0.8053 - dense_1_loss_20: 0.8488 - dense_1_loss_21: 0.8460 - dense_1_loss_22: 0.8629 - dense_1_loss_23: 0.7978 - dense_1_loss_24: 0.7375 - dense_1_loss_25: 0.8672 - dense_1_loss_26: 0.8295 - dense_1_loss_27: 0.8923 - dense_1_loss_28: 0.8410 - dense_1_loss_29: 0.7893 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.3833 - dense_1_acc_3: 0.5333 - dense_1_acc_4: 0.5000 - dense_1_acc_5: 0.6667 - dense_1_acc_6: 0.7833 - dense_1_acc_7: 0.9000 - dense_1_acc_8: 0.9333 - dense_1_acc_9: 0.9333 - dense_1_acc_10: 0.9333 - dense_1_acc_11: 0.9667 - dense_1_acc_12: 0.9500 - dense_1_acc_13: 0.9500 - dense_1_acc_14: 0.9500 - dense_1_acc_15: 0.8833 - dense_1_acc_16: 0.8667 - dense_1_acc_17: 0.9167 - dense_1_acc_18: 0.9167 - dense_1_acc_19: 0.9167 - dense_1_acc_20: 0.9333 - dense_1_acc_21: 0.9167 - dense_1_acc_22: 0.9333 - dense_1_acc_23: 0.9500 - dense_1_acc_24: 0.9667 - dense_1_acc_25: 0.9000 - dense_1_acc_26: 0.9000 - dense_1_acc_27: 0.8500 - dense_1_acc_28: 0.9333 - dense_1_acc_29: 0.9167 - dense_1_acc_30: 0.0000e+00
Epoch 31/100
60/60 [==============================] - 0s 3ms/step - loss: 30.8869 - dense_1_loss_1: 4.0297 - dense_1_loss_2: 2.9927 - dense_1_loss_3: 1.9527 - dense_1_loss_4: 1.5848 - dense_1_loss_5: 1.2555 - dense_1_loss_6: 1.0413 - dense_1_loss_7: 0.9022 - dense_1_loss_8: 0.8774 - dense_1_loss_9: 0.8470 - dense_1_loss_10: 0.7954 - dense_1_loss_11: 0.7435 - dense_1_loss_12: 0.7506 - dense_1_loss_13: 0.7434 - dense_1_loss_14: 0.7426 - dense_1_loss_15: 0.8539 - dense_1_loss_16: 0.7951 - dense_1_loss_17: 0.7661 - dense_1_loss_18: 0.7708 - dense_1_loss_19: 0.7379 - dense_1_loss_20: 0.7953 - dense_1_loss_21: 0.7776 - dense_1_loss_22: 0.7824 - dense_1_loss_23: 0.7493 - dense_1_loss_24: 0.7015 - dense_1_loss_25: 0.7951 - dense_1_loss_26: 0.7573 - dense_1_loss_27: 0.8258 - dense_1_loss_28: 0.7920 - dense_1_loss_29: 0.7280 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.0667 - dense_1_acc_2: 0.3500 - dense_1_acc_3: 0.5667 - dense_1_acc_4: 0.5667 - dense_1_acc_5: 0.6667 - dense_1_acc_6: 0.8000 - dense_1_acc_7: 0.9333 - dense_1_acc_8: 0.8833 - dense_1_acc_9: 0.9167 - dense_1_acc_10: 0.8833 - dense_1_acc_11: 0.9333 - dense_1_acc_12: 0.9667 - dense_1_acc_13: 0.9333 - dense_1_acc_14: 0.9167 - dense_1_acc_15: 0.8500 - dense_1_acc_16: 0.9333 - dense_1_acc_17: 0.9167 - dense_1_acc_18: 0.9500 - dense_1_acc_19: 0.9333 - dense_1_acc_20: 0.9833 - dense_1_acc_21: 0.9500 - dense_1_acc_22: 0.9667 - dense_1_acc_23: 0.9000 - dense_1_acc_24: 0.9500 - dense_1_acc_25: 0.9667 - dense_1_acc_26: 0.9000 - dense_1_acc_27: 0.9000 - dense_1_acc_28: 0.9000 - dense_1_acc_29: 0.9500 - dense_1_acc_30: 0.0000e+00
Epoch 32/100
60/60 [==============================] - 0s 3ms/step - loss: 29.0550 - dense_1_loss_1: 4.0220 - dense_1_loss_2: 2.9384 - dense_1_loss_3: 1.8839 - dense_1_loss_4: 1.5075 - dense_1_loss_5: 1.1718 - dense_1_loss_6: 0.9671 - dense_1_loss_7: 0.8300 - dense_1_loss_8: 0.8104 - dense_1_loss_9: 0.7566 - dense_1_loss_10: 0.7034 - dense_1_loss_11: 0.6737 - dense_1_loss_12: 0.7025 - dense_1_loss_13: 0.6809 - dense_1_loss_14: 0.7009 - dense_1_loss_15: 0.7699 - dense_1_loss_16: 0.7466 - dense_1_loss_17: 0.6999 - dense_1_loss_18: 0.6990 - dense_1_loss_19: 0.6942 - dense_1_loss_20: 0.7235 - dense_1_loss_21: 0.7293 - dense_1_loss_22: 0.7304 - dense_1_loss_23: 0.6953 - dense_1_loss_24: 0.6761 - dense_1_loss_25: 0.7004 - dense_1_loss_26: 0.6938 - dense_1_loss_27: 0.7717 - dense_1_loss_28: 0.7052 - dense_1_loss_29: 0.6704 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1167 - dense_1_acc_2: 0.3500 - dense_1_acc_3: 0.5667 - dense_1_acc_4: 0.6000 - dense_1_acc_5: 0.7167 - dense_1_acc_6: 0.8500 - dense_1_acc_7: 0.9500 - dense_1_acc_8: 0.9333 - dense_1_acc_9: 0.9500 - dense_1_acc_10: 0.9667 - dense_1_acc_11: 0.9667 - dense_1_acc_12: 0.9833 - dense_1_acc_13: 0.9667 - dense_1_acc_14: 0.9500 - dense_1_acc_15: 0.9000 - dense_1_acc_16: 0.9500 - dense_1_acc_17: 0.9667 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 0.9833 - dense_1_acc_20: 0.9833 - dense_1_acc_21: 0.9667 - dense_1_acc_22: 0.9500 - dense_1_acc_23: 0.9500 - dense_1_acc_24: 0.9833 - dense_1_acc_25: 0.9667 - dense_1_acc_26: 0.9500 - dense_1_acc_27: 0.9500 - dense_1_acc_28: 0.9333 - dense_1_acc_29: 0.9667 - dense_1_acc_30: 0.0000e+00
Epoch 33/100
60/60 [==============================] - 0s 3ms/step - loss: 27.3211 - dense_1_loss_1: 4.0150 - dense_1_loss_2: 2.8840 - dense_1_loss_3: 1.8152 - dense_1_loss_4: 1.4316 - dense_1_loss_5: 1.1097 - dense_1_loss_6: 0.8989 - dense_1_loss_7: 0.7811 - dense_1_loss_8: 0.7431 - dense_1_loss_9: 0.6864 - dense_1_loss_10: 0.6354 - dense_1_loss_11: 0.6183 - dense_1_loss_12: 0.6431 - dense_1_loss_13: 0.6135 - dense_1_loss_14: 0.6317 - dense_1_loss_15: 0.7091 - dense_1_loss_16: 0.6889 - dense_1_loss_17: 0.6394 - dense_1_loss_18: 0.6329 - dense_1_loss_19: 0.6354 - dense_1_loss_20: 0.6681 - dense_1_loss_21: 0.6636 - dense_1_loss_22: 0.6890 - dense_1_loss_23: 0.6135 - dense_1_loss_24: 0.6085 - dense_1_loss_25: 0.6596 - dense_1_loss_26: 0.6377 - dense_1_loss_27: 0.7096 - dense_1_loss_28: 0.6391 - dense_1_loss_29: 0.6200 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.3667 - dense_1_acc_3: 0.5667 - dense_1_acc_4: 0.6000 - dense_1_acc_5: 0.7833 - dense_1_acc_6: 0.8833 - dense_1_acc_7: 0.9500 - dense_1_acc_8: 0.9333 - dense_1_acc_9: 0.9667 - dense_1_acc_10: 0.9833 - dense_1_acc_11: 0.9667 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 0.9667 - dense_1_acc_14: 0.9500 - dense_1_acc_15: 0.9167 - dense_1_acc_16: 0.9833 - dense_1_acc_17: 0.9833 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 0.9833 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 0.9833 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 0.9500 - dense_1_acc_26: 0.9833 - dense_1_acc_27: 0.9833 - dense_1_acc_28: 0.9667 - dense_1_acc_29: 0.9667 - dense_1_acc_30: 0.0000e+00
Epoch 34/100
60/60 [==============================] - 0s 3ms/step - loss: 25.7632 - dense_1_loss_1: 4.0077 - dense_1_loss_2: 2.8343 - dense_1_loss_3: 1.7468 - dense_1_loss_4: 1.3625 - dense_1_loss_5: 1.0441 - dense_1_loss_6: 0.8263 - dense_1_loss_7: 0.7185 - dense_1_loss_8: 0.6847 - dense_1_loss_9: 0.6415 - dense_1_loss_10: 0.5801 - dense_1_loss_11: 0.5772 - dense_1_loss_12: 0.5829 - dense_1_loss_13: 0.5602 - dense_1_loss_14: 0.5756 - dense_1_loss_15: 0.6841 - dense_1_loss_16: 0.6298 - dense_1_loss_17: 0.5941 - dense_1_loss_18: 0.5868 - dense_1_loss_19: 0.5947 - dense_1_loss_20: 0.6218 - dense_1_loss_21: 0.6000 - dense_1_loss_22: 0.6298 - dense_1_loss_23: 0.5530 - dense_1_loss_24: 0.5445 - dense_1_loss_25: 0.6201 - dense_1_loss_26: 0.5894 - dense_1_loss_27: 0.6322 - dense_1_loss_28: 0.5774 - dense_1_loss_29: 0.5631 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.3667 - dense_1_acc_3: 0.6000 - dense_1_acc_4: 0.6500 - dense_1_acc_5: 0.7833 - dense_1_acc_6: 0.8833 - dense_1_acc_7: 0.9667 - dense_1_acc_8: 0.9167 - dense_1_acc_9: 0.9667 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 0.9833 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 0.9667 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 0.9167 - dense_1_acc_16: 0.9667 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 0.9833 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 0.9833 - dense_1_acc_24: 0.9833 - dense_1_acc_25: 0.9667 - dense_1_acc_26: 0.9667 - dense_1_acc_27: 0.9667 - dense_1_acc_28: 0.9833 - dense_1_acc_29: 0.9667 - dense_1_acc_30: 0.0000e+00
Epoch 35/100
60/60 [==============================] - 0s 4ms/step - loss: 24.2616 - dense_1_loss_1: 4.0002 - dense_1_loss_2: 2.7819 - dense_1_loss_3: 1.6736 - dense_1_loss_4: 1.2962 - dense_1_loss_5: 0.9793 - dense_1_loss_6: 0.7560 - dense_1_loss_7: 0.6597 - dense_1_loss_8: 0.6371 - dense_1_loss_9: 0.6008 - dense_1_loss_10: 0.5324 - dense_1_loss_11: 0.5168 - dense_1_loss_12: 0.5435 - dense_1_loss_13: 0.5151 - dense_1_loss_14: 0.5287 - dense_1_loss_15: 0.6181 - dense_1_loss_16: 0.5810 - dense_1_loss_17: 0.5463 - dense_1_loss_18: 0.5311 - dense_1_loss_19: 0.5431 - dense_1_loss_20: 0.5701 - dense_1_loss_21: 0.5578 - dense_1_loss_22: 0.5685 - dense_1_loss_23: 0.5144 - dense_1_loss_24: 0.5009 - dense_1_loss_25: 0.5425 - dense_1_loss_26: 0.5435 - dense_1_loss_27: 0.5819 - dense_1_loss_28: 0.5289 - dense_1_loss_29: 0.5122 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.3500 - dense_1_acc_3: 0.6167 - dense_1_acc_4: 0.6500 - dense_1_acc_5: 0.7833 - dense_1_acc_6: 0.9000 - dense_1_acc_7: 0.9667 - dense_1_acc_8: 0.9333 - dense_1_acc_9: 0.9667 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 0.9833 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 0.9667 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 0.9500 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 0.9833 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 0.9833 - dense_1_acc_21: 0.9833 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 0.9667 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 0.9667 - dense_1_acc_30: 0.0000e+00
Epoch 36/100
60/60 [==============================] - 0s 4ms/step - loss: 22.8846 - dense_1_loss_1: 3.9932 - dense_1_loss_2: 2.7309 - dense_1_loss_3: 1.6091 - dense_1_loss_4: 1.2318 - dense_1_loss_5: 0.9138 - dense_1_loss_6: 0.7054 - dense_1_loss_7: 0.6109 - dense_1_loss_8: 0.5844 - dense_1_loss_9: 0.5421 - dense_1_loss_10: 0.4883 - dense_1_loss_11: 0.4682 - dense_1_loss_12: 0.5042 - dense_1_loss_13: 0.4634 - dense_1_loss_14: 0.4828 - dense_1_loss_15: 0.5541 - dense_1_loss_16: 0.5391 - dense_1_loss_17: 0.4878 - dense_1_loss_18: 0.4803 - dense_1_loss_19: 0.4984 - dense_1_loss_20: 0.5154 - dense_1_loss_21: 0.5151 - dense_1_loss_22: 0.5333 - dense_1_loss_23: 0.4709 - dense_1_loss_24: 0.4690 - dense_1_loss_25: 0.5026 - dense_1_loss_26: 0.4917 - dense_1_loss_27: 0.5337 - dense_1_loss_28: 0.4777 - dense_1_loss_29: 0.4870 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.3667 - dense_1_acc_3: 0.6333 - dense_1_acc_4: 0.6833 - dense_1_acc_5: 0.8000 - dense_1_acc_6: 0.9000 - dense_1_acc_7: 0.9667 - dense_1_acc_8: 0.9500 - dense_1_acc_9: 0.9667 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 0.9833 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 0.9833 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 0.9833 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 0.9667 - dense_1_acc_30: 0.0000e+00
Epoch 37/100
60/60 [==============================] - 0s 3ms/step - loss: 21.6044 - dense_1_loss_1: 3.9861 - dense_1_loss_2: 2.6812 - dense_1_loss_3: 1.5474 - dense_1_loss_4: 1.1627 - dense_1_loss_5: 0.8579 - dense_1_loss_6: 0.6644 - dense_1_loss_7: 0.5678 - dense_1_loss_8: 0.5352 - dense_1_loss_9: 0.4976 - dense_1_loss_10: 0.4445 - dense_1_loss_11: 0.4416 - dense_1_loss_12: 0.4536 - dense_1_loss_13: 0.4197 - dense_1_loss_14: 0.4454 - dense_1_loss_15: 0.5121 - dense_1_loss_16: 0.4874 - dense_1_loss_17: 0.4399 - dense_1_loss_18: 0.4468 - dense_1_loss_19: 0.4480 - dense_1_loss_20: 0.4693 - dense_1_loss_21: 0.4729 - dense_1_loss_22: 0.4891 - dense_1_loss_23: 0.4270 - dense_1_loss_24: 0.4212 - dense_1_loss_25: 0.4692 - dense_1_loss_26: 0.4510 - dense_1_loss_27: 0.4766 - dense_1_loss_28: 0.4329 - dense_1_loss_29: 0.4558 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.3667 - dense_1_acc_3: 0.6833 - dense_1_acc_4: 0.7333 - dense_1_acc_5: 0.8167 - dense_1_acc_6: 0.9167 - dense_1_acc_7: 0.9667 - dense_1_acc_8: 0.9500 - dense_1_acc_9: 0.9667 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 0.9833 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 0.9833 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 0.9667 - dense_1_acc_30: 0.0000e+00
Epoch 38/100
60/60 [==============================] - 0s 4ms/step - loss: 20.3987 - dense_1_loss_1: 3.9800 - dense_1_loss_2: 2.6342 - dense_1_loss_3: 1.4875 - dense_1_loss_4: 1.0946 - dense_1_loss_5: 0.8002 - dense_1_loss_6: 0.6086 - dense_1_loss_7: 0.5241 - dense_1_loss_8: 0.4816 - dense_1_loss_9: 0.4555 - dense_1_loss_10: 0.4053 - dense_1_loss_11: 0.4096 - dense_1_loss_12: 0.4126 - dense_1_loss_13: 0.3831 - dense_1_loss_14: 0.4075 - dense_1_loss_15: 0.4774 - dense_1_loss_16: 0.4448 - dense_1_loss_17: 0.4118 - dense_1_loss_18: 0.4087 - dense_1_loss_19: 0.4056 - dense_1_loss_20: 0.4402 - dense_1_loss_21: 0.4313 - dense_1_loss_22: 0.4335 - dense_1_loss_23: 0.3998 - dense_1_loss_24: 0.3792 - dense_1_loss_25: 0.4291 - dense_1_loss_26: 0.4068 - dense_1_loss_27: 0.4408 - dense_1_loss_28: 0.3889 - dense_1_loss_29: 0.4163 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.3667 - dense_1_acc_3: 0.6833 - dense_1_acc_4: 0.7667 - dense_1_acc_5: 0.8333 - dense_1_acc_6: 0.9333 - dense_1_acc_7: 0.9667 - dense_1_acc_8: 0.9333 - dense_1_acc_9: 0.9833 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 0.9833 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 0.9833 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 0.9667 - dense_1_acc_30: 0.0000e+00
Epoch 39/100
60/60 [==============================] - 0s 3ms/step - loss: 19.3080 - dense_1_loss_1: 3.9741 - dense_1_loss_2: 2.5857 - dense_1_loss_3: 1.4314 - dense_1_loss_4: 1.0296 - dense_1_loss_5: 0.7433 - dense_1_loss_6: 0.5607 - dense_1_loss_7: 0.4834 - dense_1_loss_8: 0.4344 - dense_1_loss_9: 0.4272 - dense_1_loss_10: 0.3715 - dense_1_loss_11: 0.3736 - dense_1_loss_12: 0.3808 - dense_1_loss_13: 0.3499 - dense_1_loss_14: 0.3730 - dense_1_loss_15: 0.4345 - dense_1_loss_16: 0.4060 - dense_1_loss_17: 0.3723 - dense_1_loss_18: 0.3709 - dense_1_loss_19: 0.3748 - dense_1_loss_20: 0.4047 - dense_1_loss_21: 0.3902 - dense_1_loss_22: 0.4049 - dense_1_loss_23: 0.3678 - dense_1_loss_24: 0.3505 - dense_1_loss_25: 0.3859 - dense_1_loss_26: 0.3748 - dense_1_loss_27: 0.4071 - dense_1_loss_28: 0.3651 - dense_1_loss_29: 0.3800 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.3667 - dense_1_acc_3: 0.7000 - dense_1_acc_4: 0.7833 - dense_1_acc_5: 0.8667 - dense_1_acc_6: 0.9333 - dense_1_acc_7: 0.9833 - dense_1_acc_8: 0.9667 - dense_1_acc_9: 0.9833 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 0.9833 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 0.9833 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 0.9667 - dense_1_acc_30: 0.0000e+00
Epoch 40/100
60/60 [==============================] - 0s 3ms/step - loss: 18.2912 - dense_1_loss_1: 3.9679 - dense_1_loss_2: 2.5386 - dense_1_loss_3: 1.3822 - dense_1_loss_4: 0.9632 - dense_1_loss_5: 0.6914 - dense_1_loss_6: 0.5229 - dense_1_loss_7: 0.4476 - dense_1_loss_8: 0.4009 - dense_1_loss_9: 0.3902 - dense_1_loss_10: 0.3433 - dense_1_loss_11: 0.3448 - dense_1_loss_12: 0.3504 - dense_1_loss_13: 0.3157 - dense_1_loss_14: 0.3463 - dense_1_loss_15: 0.3935 - dense_1_loss_16: 0.3680 - dense_1_loss_17: 0.3370 - dense_1_loss_18: 0.3347 - dense_1_loss_19: 0.3572 - dense_1_loss_20: 0.3643 - dense_1_loss_21: 0.3563 - dense_1_loss_22: 0.3836 - dense_1_loss_23: 0.3304 - dense_1_loss_24: 0.3226 - dense_1_loss_25: 0.3472 - dense_1_loss_26: 0.3415 - dense_1_loss_27: 0.3723 - dense_1_loss_28: 0.3331 - dense_1_loss_29: 0.3441 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4167 - dense_1_acc_3: 0.7000 - dense_1_acc_4: 0.8333 - dense_1_acc_5: 0.9167 - dense_1_acc_6: 0.9667 - dense_1_acc_7: 0.9833 - dense_1_acc_8: 0.9833 - dense_1_acc_9: 0.9833 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 0.9833 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 0.9667 - dense_1_acc_30: 0.0000e+00
Epoch 41/100
60/60 [==============================] - 0s 4ms/step - loss: 17.3626 - dense_1_loss_1: 3.9620 - dense_1_loss_2: 2.4923 - dense_1_loss_3: 1.3305 - dense_1_loss_4: 0.9099 - dense_1_loss_5: 0.6444 - dense_1_loss_6: 0.4840 - dense_1_loss_7: 0.4116 - dense_1_loss_8: 0.3741 - dense_1_loss_9: 0.3581 - dense_1_loss_10: 0.3130 - dense_1_loss_11: 0.3211 - dense_1_loss_12: 0.3244 - dense_1_loss_13: 0.2878 - dense_1_loss_14: 0.3187 - dense_1_loss_15: 0.3627 - dense_1_loss_16: 0.3409 - dense_1_loss_17: 0.3069 - dense_1_loss_18: 0.3049 - dense_1_loss_19: 0.3244 - dense_1_loss_20: 0.3349 - dense_1_loss_21: 0.3254 - dense_1_loss_22: 0.3470 - dense_1_loss_23: 0.3024 - dense_1_loss_24: 0.2897 - dense_1_loss_25: 0.3224 - dense_1_loss_26: 0.3137 - dense_1_loss_27: 0.3404 - dense_1_loss_28: 0.3021 - dense_1_loss_29: 0.3127 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4333 - dense_1_acc_3: 0.7000 - dense_1_acc_4: 0.8833 - dense_1_acc_5: 0.9167 - dense_1_acc_6: 0.9667 - dense_1_acc_7: 0.9833 - dense_1_acc_8: 0.9667 - dense_1_acc_9: 0.9833 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 0.9833 - dense_1_acc_30: 0.0000e+00
Epoch 42/100
60/60 [==============================] - 0s 3ms/step - loss: 16.5171 - dense_1_loss_1: 3.9560 - dense_1_loss_2: 2.4505 - dense_1_loss_3: 1.2802 - dense_1_loss_4: 0.8580 - dense_1_loss_5: 0.5998 - dense_1_loss_6: 0.4434 - dense_1_loss_7: 0.3810 - dense_1_loss_8: 0.3430 - dense_1_loss_9: 0.3321 - dense_1_loss_10: 0.2830 - dense_1_loss_11: 0.2969 - dense_1_loss_12: 0.2949 - dense_1_loss_13: 0.2636 - dense_1_loss_14: 0.2915 - dense_1_loss_15: 0.3337 - dense_1_loss_16: 0.3198 - dense_1_loss_17: 0.2803 - dense_1_loss_18: 0.2759 - dense_1_loss_19: 0.2943 - dense_1_loss_20: 0.3119 - dense_1_loss_21: 0.3014 - dense_1_loss_22: 0.3090 - dense_1_loss_23: 0.2821 - dense_1_loss_24: 0.2628 - dense_1_loss_25: 0.3015 - dense_1_loss_26: 0.2873 - dense_1_loss_27: 0.3163 - dense_1_loss_28: 0.2809 - dense_1_loss_29: 0.2860 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4333 - dense_1_acc_3: 0.7167 - dense_1_acc_4: 0.8833 - dense_1_acc_5: 0.9167 - dense_1_acc_6: 0.9667 - dense_1_acc_7: 0.9833 - dense_1_acc_8: 0.9833 - dense_1_acc_9: 0.9833 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 0.9833 - dense_1_acc_30: 0.0000e+00
Epoch 43/100
60/60 [==============================] - 0s 4ms/step - loss: 15.7355 - dense_1_loss_1: 3.9510 - dense_1_loss_2: 2.4052 - dense_1_loss_3: 1.2329 - dense_1_loss_4: 0.8070 - dense_1_loss_5: 0.5602 - dense_1_loss_6: 0.4106 - dense_1_loss_7: 0.3496 - dense_1_loss_8: 0.3153 - dense_1_loss_9: 0.3072 - dense_1_loss_10: 0.2603 - dense_1_loss_11: 0.2729 - dense_1_loss_12: 0.2671 - dense_1_loss_13: 0.2466 - dense_1_loss_14: 0.2627 - dense_1_loss_15: 0.3041 - dense_1_loss_16: 0.2868 - dense_1_loss_17: 0.2599 - dense_1_loss_18: 0.2549 - dense_1_loss_19: 0.2660 - dense_1_loss_20: 0.2849 - dense_1_loss_21: 0.2833 - dense_1_loss_22: 0.2818 - dense_1_loss_23: 0.2639 - dense_1_loss_24: 0.2478 - dense_1_loss_25: 0.2715 - dense_1_loss_26: 0.2636 - dense_1_loss_27: 0.2917 - dense_1_loss_28: 0.2599 - dense_1_loss_29: 0.2671 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4833 - dense_1_acc_3: 0.7333 - dense_1_acc_4: 0.9000 - dense_1_acc_5: 0.9333 - dense_1_acc_6: 0.9833 - dense_1_acc_7: 0.9833 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 0.9833 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 0.9833 - dense_1_acc_30: 0.0000e+00
Epoch 44/100
60/60 [==============================] - 0s 3ms/step - loss: 15.0318 - dense_1_loss_1: 3.9454 - dense_1_loss_2: 2.3625 - dense_1_loss_3: 1.1911 - dense_1_loss_4: 0.7561 - dense_1_loss_5: 0.5233 - dense_1_loss_6: 0.3819 - dense_1_loss_7: 0.3278 - dense_1_loss_8: 0.2891 - dense_1_loss_9: 0.2852 - dense_1_loss_10: 0.2398 - dense_1_loss_11: 0.2526 - dense_1_loss_12: 0.2415 - dense_1_loss_13: 0.2290 - dense_1_loss_14: 0.2409 - dense_1_loss_15: 0.2799 - dense_1_loss_16: 0.2588 - dense_1_loss_17: 0.2376 - dense_1_loss_18: 0.2343 - dense_1_loss_19: 0.2459 - dense_1_loss_20: 0.2643 - dense_1_loss_21: 0.2583 - dense_1_loss_22: 0.2629 - dense_1_loss_23: 0.2397 - dense_1_loss_24: 0.2300 - dense_1_loss_25: 0.2485 - dense_1_loss_26: 0.2469 - dense_1_loss_27: 0.2643 - dense_1_loss_28: 0.2404 - dense_1_loss_29: 0.2539 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4833 - dense_1_acc_3: 0.7667 - dense_1_acc_4: 0.9000 - dense_1_acc_5: 0.9500 - dense_1_acc_6: 0.9833 - dense_1_acc_7: 0.9833 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 0.9833 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 0.9833 - dense_1_acc_30: 0.0000e+00
Epoch 45/100
60/60 [==============================] - 0s 3ms/step - loss: 14.3598 - dense_1_loss_1: 3.9408 - dense_1_loss_2: 2.3207 - dense_1_loss_3: 1.1484 - dense_1_loss_4: 0.7152 - dense_1_loss_5: 0.4836 - dense_1_loss_6: 0.3516 - dense_1_loss_7: 0.3044 - dense_1_loss_8: 0.2710 - dense_1_loss_9: 0.2582 - dense_1_loss_10: 0.2234 - dense_1_loss_11: 0.2333 - dense_1_loss_12: 0.2257 - dense_1_loss_13: 0.2093 - dense_1_loss_14: 0.2212 - dense_1_loss_15: 0.2589 - dense_1_loss_16: 0.2411 - dense_1_loss_17: 0.2168 - dense_1_loss_18: 0.2153 - dense_1_loss_19: 0.2231 - dense_1_loss_20: 0.2419 - dense_1_loss_21: 0.2357 - dense_1_loss_22: 0.2442 - dense_1_loss_23: 0.2140 - dense_1_loss_24: 0.2085 - dense_1_loss_25: 0.2319 - dense_1_loss_26: 0.2270 - dense_1_loss_27: 0.2388 - dense_1_loss_28: 0.2174 - dense_1_loss_29: 0.2383 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4833 - dense_1_acc_3: 0.7667 - dense_1_acc_4: 0.9000 - dense_1_acc_5: 0.9500 - dense_1_acc_6: 0.9833 - dense_1_acc_7: 0.9833 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 0.9833 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 0.9833 - dense_1_acc_30: 0.0000e+00
Epoch 46/100
60/60 [==============================] - 0s 4ms/step - loss: 13.7685 - dense_1_loss_1: 3.9346 - dense_1_loss_2: 2.2800 - dense_1_loss_3: 1.1087 - dense_1_loss_4: 0.6762 - dense_1_loss_5: 0.4530 - dense_1_loss_6: 0.3288 - dense_1_loss_7: 0.2793 - dense_1_loss_8: 0.2551 - dense_1_loss_9: 0.2390 - dense_1_loss_10: 0.2037 - dense_1_loss_11: 0.2168 - dense_1_loss_12: 0.2097 - dense_1_loss_13: 0.1927 - dense_1_loss_14: 0.2070 - dense_1_loss_15: 0.2369 - dense_1_loss_16: 0.2271 - dense_1_loss_17: 0.2004 - dense_1_loss_18: 0.1955 - dense_1_loss_19: 0.2083 - dense_1_loss_20: 0.2266 - dense_1_loss_21: 0.2164 - dense_1_loss_22: 0.2242 - dense_1_loss_23: 0.1949 - dense_1_loss_24: 0.1913 - dense_1_loss_25: 0.2156 - dense_1_loss_26: 0.2079 - dense_1_loss_27: 0.2211 - dense_1_loss_28: 0.1967 - dense_1_loss_29: 0.2207 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4833 - dense_1_acc_3: 0.7667 - dense_1_acc_4: 0.9000 - dense_1_acc_5: 0.9500 - dense_1_acc_6: 0.9833 - dense_1_acc_7: 0.9833 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 0.9833 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 0.9833 - dense_1_acc_30: 0.0000e+00
Epoch 47/100
60/60 [==============================] - 0s 3ms/step - loss: 13.2275 - dense_1_loss_1: 3.9297 - dense_1_loss_2: 2.2414 - dense_1_loss_3: 1.0725 - dense_1_loss_4: 0.6409 - dense_1_loss_5: 0.4242 - dense_1_loss_6: 0.3074 - dense_1_loss_7: 0.2568 - dense_1_loss_8: 0.2361 - dense_1_loss_9: 0.2233 - dense_1_loss_10: 0.1887 - dense_1_loss_11: 0.1986 - dense_1_loss_12: 0.1930 - dense_1_loss_13: 0.1786 - dense_1_loss_14: 0.1916 - dense_1_loss_15: 0.2172 - dense_1_loss_16: 0.2054 - dense_1_loss_17: 0.1895 - dense_1_loss_18: 0.1788 - dense_1_loss_19: 0.1939 - dense_1_loss_20: 0.2095 - dense_1_loss_21: 0.1999 - dense_1_loss_22: 0.2045 - dense_1_loss_23: 0.1808 - dense_1_loss_24: 0.1794 - dense_1_loss_25: 0.1981 - dense_1_loss_26: 0.1902 - dense_1_loss_27: 0.2081 - dense_1_loss_28: 0.1845 - dense_1_loss_29: 0.2048 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4833 - dense_1_acc_3: 0.8000 - dense_1_acc_4: 0.9167 - dense_1_acc_5: 0.9500 - dense_1_acc_6: 0.9833 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 0.9833 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 0.9833 - dense_1_acc_30: 0.0000e+00
Epoch 48/100
60/60 [==============================] - 0s 4ms/step - loss: 12.7222 - dense_1_loss_1: 3.9247 - dense_1_loss_2: 2.2024 - dense_1_loss_3: 1.0382 - dense_1_loss_4: 0.6047 - dense_1_loss_5: 0.3986 - dense_1_loss_6: 0.2855 - dense_1_loss_7: 0.2395 - dense_1_loss_8: 0.2150 - dense_1_loss_9: 0.2092 - dense_1_loss_10: 0.1754 - dense_1_loss_11: 0.1826 - dense_1_loss_12: 0.1765 - dense_1_loss_13: 0.1652 - dense_1_loss_14: 0.1772 - dense_1_loss_15: 0.1994 - dense_1_loss_16: 0.1849 - dense_1_loss_17: 0.1741 - dense_1_loss_18: 0.1678 - dense_1_loss_19: 0.1767 - dense_1_loss_20: 0.1919 - dense_1_loss_21: 0.1846 - dense_1_loss_22: 0.1910 - dense_1_loss_23: 0.1702 - dense_1_loss_24: 0.1679 - dense_1_loss_25: 0.1814 - dense_1_loss_26: 0.1768 - dense_1_loss_27: 0.1952 - dense_1_loss_28: 0.1774 - dense_1_loss_29: 0.1883 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4833 - dense_1_acc_3: 0.8167 - dense_1_acc_4: 0.9167 - dense_1_acc_5: 0.9500 - dense_1_acc_6: 0.9833 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 0.9833 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 0.9833 - dense_1_acc_30: 0.0000e+00
Epoch 49/100
60/60 [==============================] - 0s 3ms/step - loss: 12.2689 - dense_1_loss_1: 3.9202 - dense_1_loss_2: 2.1651 - dense_1_loss_3: 1.0025 - dense_1_loss_4: 0.5759 - dense_1_loss_5: 0.3739 - dense_1_loss_6: 0.2646 - dense_1_loss_7: 0.2276 - dense_1_loss_8: 0.2017 - dense_1_loss_9: 0.1960 - dense_1_loss_10: 0.1647 - dense_1_loss_11: 0.1705 - dense_1_loss_12: 0.1642 - dense_1_loss_13: 0.1533 - dense_1_loss_14: 0.1663 - dense_1_loss_15: 0.1844 - dense_1_loss_16: 0.1715 - dense_1_loss_17: 0.1591 - dense_1_loss_18: 0.1573 - dense_1_loss_19: 0.1621 - dense_1_loss_20: 0.1770 - dense_1_loss_21: 0.1710 - dense_1_loss_22: 0.1777 - dense_1_loss_23: 0.1578 - dense_1_loss_24: 0.1528 - dense_1_loss_25: 0.1685 - dense_1_loss_26: 0.1625 - dense_1_loss_27: 0.1818 - dense_1_loss_28: 0.1646 - dense_1_loss_29: 0.1744 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4833 - dense_1_acc_3: 0.8167 - dense_1_acc_4: 0.9167 - dense_1_acc_5: 0.9500 - dense_1_acc_6: 0.9833 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 0.9833 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 0.9833 - dense_1_acc_30: 0.0000e+00
Epoch 50/100
60/60 [==============================] - 0s 4ms/step - loss: 11.8498 - dense_1_loss_1: 3.9154 - dense_1_loss_2: 2.1284 - dense_1_loss_3: 0.9700 - dense_1_loss_4: 0.5458 - dense_1_loss_5: 0.3488 - dense_1_loss_6: 0.2458 - dense_1_loss_7: 0.2123 - dense_1_loss_8: 0.1892 - dense_1_loss_9: 0.1823 - dense_1_loss_10: 0.1541 - dense_1_loss_11: 0.1601 - dense_1_loss_12: 0.1528 - dense_1_loss_13: 0.1434 - dense_1_loss_14: 0.1547 - dense_1_loss_15: 0.1728 - dense_1_loss_16: 0.1611 - dense_1_loss_17: 0.1454 - dense_1_loss_18: 0.1471 - dense_1_loss_19: 0.1522 - dense_1_loss_20: 0.1638 - dense_1_loss_21: 0.1611 - dense_1_loss_22: 0.1621 - dense_1_loss_23: 0.1481 - dense_1_loss_24: 0.1407 - dense_1_loss_25: 0.1562 - dense_1_loss_26: 0.1506 - dense_1_loss_27: 0.1689 - dense_1_loss_28: 0.1511 - dense_1_loss_29: 0.1654 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4833 - dense_1_acc_3: 0.8333 - dense_1_acc_4: 0.9167 - dense_1_acc_5: 0.9500 - dense_1_acc_6: 0.9833 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 51/100
60/60 [==============================] - 0s 4ms/step - loss: 11.4700 - dense_1_loss_1: 3.9106 - dense_1_loss_2: 2.0924 - dense_1_loss_3: 0.9398 - dense_1_loss_4: 0.5191 - dense_1_loss_5: 0.3290 - dense_1_loss_6: 0.2310 - dense_1_loss_7: 0.1984 - dense_1_loss_8: 0.1776 - dense_1_loss_9: 0.1706 - dense_1_loss_10: 0.1442 - dense_1_loss_11: 0.1488 - dense_1_loss_12: 0.1431 - dense_1_loss_13: 0.1344 - dense_1_loss_14: 0.1433 - dense_1_loss_15: 0.1600 - dense_1_loss_16: 0.1524 - dense_1_loss_17: 0.1355 - dense_1_loss_18: 0.1361 - dense_1_loss_19: 0.1419 - dense_1_loss_20: 0.1527 - dense_1_loss_21: 0.1503 - dense_1_loss_22: 0.1495 - dense_1_loss_23: 0.1386 - dense_1_loss_24: 0.1321 - dense_1_loss_25: 0.1451 - dense_1_loss_26: 0.1417 - dense_1_loss_27: 0.1561 - dense_1_loss_28: 0.1394 - dense_1_loss_29: 0.1565 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4833 - dense_1_acc_3: 0.8333 - dense_1_acc_4: 0.9167 - dense_1_acc_5: 0.9500 - dense_1_acc_6: 0.9833 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 52/100
60/60 [==============================] - 0s 3ms/step - loss: 11.1184 - dense_1_loss_1: 3.9062 - dense_1_loss_2: 2.0593 - dense_1_loss_3: 0.9094 - dense_1_loss_4: 0.4950 - dense_1_loss_5: 0.3103 - dense_1_loss_6: 0.2166 - dense_1_loss_7: 0.1870 - dense_1_loss_8: 0.1669 - dense_1_loss_9: 0.1609 - dense_1_loss_10: 0.1347 - dense_1_loss_11: 0.1385 - dense_1_loss_12: 0.1334 - dense_1_loss_13: 0.1242 - dense_1_loss_14: 0.1331 - dense_1_loss_15: 0.1492 - dense_1_loss_16: 0.1419 - dense_1_loss_17: 0.1273 - dense_1_loss_18: 0.1273 - dense_1_loss_19: 0.1323 - dense_1_loss_20: 0.1431 - dense_1_loss_21: 0.1393 - dense_1_loss_22: 0.1406 - dense_1_loss_23: 0.1277 - dense_1_loss_24: 0.1252 - dense_1_loss_25: 0.1343 - dense_1_loss_26: 0.1322 - dense_1_loss_27: 0.1457 - dense_1_loss_28: 0.1323 - dense_1_loss_29: 0.1443 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.4833 - dense_1_acc_3: 0.8333 - dense_1_acc_4: 0.9167 - dense_1_acc_5: 0.9500 - dense_1_acc_6: 0.9833 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 53/100
60/60 [==============================] - 0s 3ms/step - loss: 10.8029 - dense_1_loss_1: 3.9015 - dense_1_loss_2: 2.0255 - dense_1_loss_3: 0.8826 - dense_1_loss_4: 0.4725 - dense_1_loss_5: 0.2933 - dense_1_loss_6: 0.2049 - dense_1_loss_7: 0.1767 - dense_1_loss_8: 0.1571 - dense_1_loss_9: 0.1522 - dense_1_loss_10: 0.1266 - dense_1_loss_11: 0.1296 - dense_1_loss_12: 0.1253 - dense_1_loss_13: 0.1156 - dense_1_loss_14: 0.1246 - dense_1_loss_15: 0.1391 - dense_1_loss_16: 0.1322 - dense_1_loss_17: 0.1198 - dense_1_loss_18: 0.1190 - dense_1_loss_19: 0.1232 - dense_1_loss_20: 0.1341 - dense_1_loss_21: 0.1292 - dense_1_loss_22: 0.1337 - dense_1_loss_23: 0.1180 - dense_1_loss_24: 0.1180 - dense_1_loss_25: 0.1264 - dense_1_loss_26: 0.1229 - dense_1_loss_27: 0.1380 - dense_1_loss_28: 0.1249 - dense_1_loss_29: 0.1362 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5000 - dense_1_acc_3: 0.8333 - dense_1_acc_4: 0.9167 - dense_1_acc_5: 0.9833 - dense_1_acc_6: 0.9833 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 54/100
60/60 [==============================] - 0s 4ms/step - loss: 10.5007 - dense_1_loss_1: 3.8971 - dense_1_loss_2: 1.9937 - dense_1_loss_3: 0.8552 - dense_1_loss_4: 0.4507 - dense_1_loss_5: 0.2768 - dense_1_loss_6: 0.1937 - dense_1_loss_7: 0.1654 - dense_1_loss_8: 0.1484 - dense_1_loss_9: 0.1417 - dense_1_loss_10: 0.1183 - dense_1_loss_11: 0.1217 - dense_1_loss_12: 0.1177 - dense_1_loss_13: 0.1082 - dense_1_loss_14: 0.1173 - dense_1_loss_15: 0.1300 - dense_1_loss_16: 0.1230 - dense_1_loss_17: 0.1124 - dense_1_loss_18: 0.1112 - dense_1_loss_19: 0.1156 - dense_1_loss_20: 0.1256 - dense_1_loss_21: 0.1211 - dense_1_loss_22: 0.1261 - dense_1_loss_23: 0.1099 - dense_1_loss_24: 0.1099 - dense_1_loss_25: 0.1188 - dense_1_loss_26: 0.1148 - dense_1_loss_27: 0.1310 - dense_1_loss_28: 0.1172 - dense_1_loss_29: 0.1283 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5000 - dense_1_acc_3: 0.8333 - dense_1_acc_4: 0.9167 - dense_1_acc_5: 0.9833 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 55/100
60/60 [==============================] - 0s 3ms/step - loss: 10.2340 - dense_1_loss_1: 3.8927 - dense_1_loss_2: 1.9610 - dense_1_loss_3: 0.8307 - dense_1_loss_4: 0.4316 - dense_1_loss_5: 0.2636 - dense_1_loss_6: 0.1834 - dense_1_loss_7: 0.1567 - dense_1_loss_8: 0.1425 - dense_1_loss_9: 0.1333 - dense_1_loss_10: 0.1115 - dense_1_loss_11: 0.1149 - dense_1_loss_12: 0.1107 - dense_1_loss_13: 0.1023 - dense_1_loss_14: 0.1114 - dense_1_loss_15: 0.1218 - dense_1_loss_16: 0.1152 - dense_1_loss_17: 0.1057 - dense_1_loss_18: 0.1041 - dense_1_loss_19: 0.1090 - dense_1_loss_20: 0.1181 - dense_1_loss_21: 0.1151 - dense_1_loss_22: 0.1167 - dense_1_loss_23: 0.1046 - dense_1_loss_24: 0.1025 - dense_1_loss_25: 0.1113 - dense_1_loss_26: 0.1079 - dense_1_loss_27: 0.1237 - dense_1_loss_28: 0.1113 - dense_1_loss_29: 0.1209 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5000 - dense_1_acc_3: 0.8333 - dense_1_acc_4: 0.9167 - dense_1_acc_5: 0.9833 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 56/100
60/60 [==============================] - 0s 3ms/step - loss: 9.9778 - dense_1_loss_1: 3.8887 - dense_1_loss_2: 1.9317 - dense_1_loss_3: 0.8058 - dense_1_loss_4: 0.4124 - dense_1_loss_5: 0.2487 - dense_1_loss_6: 0.1726 - dense_1_loss_7: 0.1482 - dense_1_loss_8: 0.1350 - dense_1_loss_9: 0.1255 - dense_1_loss_10: 0.1057 - dense_1_loss_11: 0.1081 - dense_1_loss_12: 0.1041 - dense_1_loss_13: 0.0964 - dense_1_loss_14: 0.1050 - dense_1_loss_15: 0.1144 - dense_1_loss_16: 0.1081 - dense_1_loss_17: 0.0998 - dense_1_loss_18: 0.0982 - dense_1_loss_19: 0.1020 - dense_1_loss_20: 0.1117 - dense_1_loss_21: 0.1084 - dense_1_loss_22: 0.1087 - dense_1_loss_23: 0.0996 - dense_1_loss_24: 0.0968 - dense_1_loss_25: 0.1046 - dense_1_loss_26: 0.1014 - dense_1_loss_27: 0.1159 - dense_1_loss_28: 0.1059 - dense_1_loss_29: 0.1145 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5000 - dense_1_acc_3: 0.8333 - dense_1_acc_4: 0.9167 - dense_1_acc_5: 0.9833 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 57/100
60/60 [==============================] - 0s 4ms/step - loss: 9.7445 - dense_1_loss_1: 3.8843 - dense_1_loss_2: 1.9016 - dense_1_loss_3: 0.7842 - dense_1_loss_4: 0.3960 - dense_1_loss_5: 0.2364 - dense_1_loss_6: 0.1640 - dense_1_loss_7: 0.1406 - dense_1_loss_8: 0.1274 - dense_1_loss_9: 0.1197 - dense_1_loss_10: 0.1003 - dense_1_loss_11: 0.1019 - dense_1_loss_12: 0.0985 - dense_1_loss_13: 0.0908 - dense_1_loss_14: 0.0991 - dense_1_loss_15: 0.1078 - dense_1_loss_16: 0.1023 - dense_1_loss_17: 0.0936 - dense_1_loss_18: 0.0927 - dense_1_loss_19: 0.0966 - dense_1_loss_20: 0.1054 - dense_1_loss_21: 0.1011 - dense_1_loss_22: 0.1024 - dense_1_loss_23: 0.0937 - dense_1_loss_24: 0.0920 - dense_1_loss_25: 0.0987 - dense_1_loss_26: 0.0958 - dense_1_loss_27: 0.1083 - dense_1_loss_28: 0.1007 - dense_1_loss_29: 0.1085 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5000 - dense_1_acc_3: 0.8500 - dense_1_acc_4: 0.9333 - dense_1_acc_5: 0.9833 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 58/100
60/60 [==============================] - 0s 3ms/step - loss: 9.5293 - dense_1_loss_1: 3.8801 - dense_1_loss_2: 1.8730 - dense_1_loss_3: 0.7646 - dense_1_loss_4: 0.3798 - dense_1_loss_5: 0.2251 - dense_1_loss_6: 0.1561 - dense_1_loss_7: 0.1336 - dense_1_loss_8: 0.1210 - dense_1_loss_9: 0.1135 - dense_1_loss_10: 0.0950 - dense_1_loss_11: 0.0960 - dense_1_loss_12: 0.0932 - dense_1_loss_13: 0.0857 - dense_1_loss_14: 0.0930 - dense_1_loss_15: 0.1019 - dense_1_loss_16: 0.0968 - dense_1_loss_17: 0.0883 - dense_1_loss_18: 0.0883 - dense_1_loss_19: 0.0918 - dense_1_loss_20: 0.0997 - dense_1_loss_21: 0.0955 - dense_1_loss_22: 0.0974 - dense_1_loss_23: 0.0877 - dense_1_loss_24: 0.0879 - dense_1_loss_25: 0.0931 - dense_1_loss_26: 0.0901 - dense_1_loss_27: 0.1032 - dense_1_loss_28: 0.0953 - dense_1_loss_29: 0.1026 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5000 - dense_1_acc_3: 0.8500 - dense_1_acc_4: 0.9500 - dense_1_acc_5: 0.9833 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 59/100
60/60 [==============================] - 0s 3ms/step - loss: 9.3281 - dense_1_loss_1: 3.8765 - dense_1_loss_2: 1.8461 - dense_1_loss_3: 0.7433 - dense_1_loss_4: 0.3657 - dense_1_loss_5: 0.2145 - dense_1_loss_6: 0.1484 - dense_1_loss_7: 0.1265 - dense_1_loss_8: 0.1154 - dense_1_loss_9: 0.1076 - dense_1_loss_10: 0.0899 - dense_1_loss_11: 0.0911 - dense_1_loss_12: 0.0883 - dense_1_loss_13: 0.0813 - dense_1_loss_14: 0.0877 - dense_1_loss_15: 0.0966 - dense_1_loss_16: 0.0914 - dense_1_loss_17: 0.0835 - dense_1_loss_18: 0.0840 - dense_1_loss_19: 0.0870 - dense_1_loss_20: 0.0938 - dense_1_loss_21: 0.0909 - dense_1_loss_22: 0.0918 - dense_1_loss_23: 0.0832 - dense_1_loss_24: 0.0838 - dense_1_loss_25: 0.0883 - dense_1_loss_26: 0.0848 - dense_1_loss_27: 0.0989 - dense_1_loss_28: 0.0904 - dense_1_loss_29: 0.0974 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5000 - dense_1_acc_3: 0.8500 - dense_1_acc_4: 0.9500 - dense_1_acc_5: 0.9833 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 60/100
60/60 [==============================] - 0s 4ms/step - loss: 9.1386 - dense_1_loss_1: 3.8724 - dense_1_loss_2: 1.8191 - dense_1_loss_3: 0.7241 - dense_1_loss_4: 0.3519 - dense_1_loss_5: 0.2043 - dense_1_loss_6: 0.1412 - dense_1_loss_7: 0.1202 - dense_1_loss_8: 0.1102 - dense_1_loss_9: 0.1015 - dense_1_loss_10: 0.0850 - dense_1_loss_11: 0.0864 - dense_1_loss_12: 0.0843 - dense_1_loss_13: 0.0768 - dense_1_loss_14: 0.0827 - dense_1_loss_15: 0.0917 - dense_1_loss_16: 0.0870 - dense_1_loss_17: 0.0792 - dense_1_loss_18: 0.0799 - dense_1_loss_19: 0.0821 - dense_1_loss_20: 0.0886 - dense_1_loss_21: 0.0867 - dense_1_loss_22: 0.0871 - dense_1_loss_23: 0.0793 - dense_1_loss_24: 0.0792 - dense_1_loss_25: 0.0841 - dense_1_loss_26: 0.0809 - dense_1_loss_27: 0.0944 - dense_1_loss_28: 0.0846 - dense_1_loss_29: 0.0938 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.8500 - dense_1_acc_4: 0.9500 - dense_1_acc_5: 0.9833 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 61/100
60/60 [==============================] - 0s 4ms/step - loss: 8.9650 - dense_1_loss_1: 3.8683 - dense_1_loss_2: 1.7938 - dense_1_loss_3: 0.7061 - dense_1_loss_4: 0.3379 - dense_1_loss_5: 0.1951 - dense_1_loss_6: 0.1351 - dense_1_loss_7: 0.1151 - dense_1_loss_8: 0.1053 - dense_1_loss_9: 0.0969 - dense_1_loss_10: 0.0808 - dense_1_loss_11: 0.0822 - dense_1_loss_12: 0.0806 - dense_1_loss_13: 0.0728 - dense_1_loss_14: 0.0784 - dense_1_loss_15: 0.0875 - dense_1_loss_16: 0.0826 - dense_1_loss_17: 0.0750 - dense_1_loss_18: 0.0761 - dense_1_loss_19: 0.0775 - dense_1_loss_20: 0.0840 - dense_1_loss_21: 0.0826 - dense_1_loss_22: 0.0830 - dense_1_loss_23: 0.0757 - dense_1_loss_24: 0.0744 - dense_1_loss_25: 0.0806 - dense_1_loss_26: 0.0778 - dense_1_loss_27: 0.0889 - dense_1_loss_28: 0.0800 - dense_1_loss_29: 0.0909 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.8500 - dense_1_acc_4: 0.9500 - dense_1_acc_5: 0.9833 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 62/100
60/60 [==============================] - 0s 3ms/step - loss: 8.8040 - dense_1_loss_1: 3.8645 - dense_1_loss_2: 1.7688 - dense_1_loss_3: 0.6887 - dense_1_loss_4: 0.3261 - dense_1_loss_5: 0.1877 - dense_1_loss_6: 0.1295 - dense_1_loss_7: 0.1103 - dense_1_loss_8: 0.1007 - dense_1_loss_9: 0.0925 - dense_1_loss_10: 0.0775 - dense_1_loss_11: 0.0786 - dense_1_loss_12: 0.0767 - dense_1_loss_13: 0.0696 - dense_1_loss_14: 0.0749 - dense_1_loss_15: 0.0837 - dense_1_loss_16: 0.0784 - dense_1_loss_17: 0.0715 - dense_1_loss_18: 0.0723 - dense_1_loss_19: 0.0736 - dense_1_loss_20: 0.0805 - dense_1_loss_21: 0.0783 - dense_1_loss_22: 0.0784 - dense_1_loss_23: 0.0717 - dense_1_loss_24: 0.0709 - dense_1_loss_25: 0.0767 - dense_1_loss_26: 0.0740 - dense_1_loss_27: 0.0846 - dense_1_loss_28: 0.0771 - dense_1_loss_29: 0.0863 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.8500 - dense_1_acc_4: 0.9500 - dense_1_acc_5: 0.9833 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 63/100
60/60 [==============================] - 0s 3ms/step - loss: 8.6491 - dense_1_loss_1: 3.8608 - dense_1_loss_2: 1.7453 - dense_1_loss_3: 0.6715 - dense_1_loss_4: 0.3140 - dense_1_loss_5: 0.1797 - dense_1_loss_6: 0.1242 - dense_1_loss_7: 0.1059 - dense_1_loss_8: 0.0965 - dense_1_loss_9: 0.0884 - dense_1_loss_10: 0.0740 - dense_1_loss_11: 0.0750 - dense_1_loss_12: 0.0729 - dense_1_loss_13: 0.0665 - dense_1_loss_14: 0.0717 - dense_1_loss_15: 0.0799 - dense_1_loss_16: 0.0741 - dense_1_loss_17: 0.0683 - dense_1_loss_18: 0.0685 - dense_1_loss_19: 0.0706 - dense_1_loss_20: 0.0774 - dense_1_loss_21: 0.0739 - dense_1_loss_22: 0.0746 - dense_1_loss_23: 0.0678 - dense_1_loss_24: 0.0679 - dense_1_loss_25: 0.0727 - dense_1_loss_26: 0.0696 - dense_1_loss_27: 0.0815 - dense_1_loss_28: 0.0746 - dense_1_loss_29: 0.0814 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5500 - dense_1_acc_3: 0.8500 - dense_1_acc_4: 0.9500 - dense_1_acc_5: 0.9833 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 64/100
60/60 [==============================] - 0s 3ms/step - loss: 8.5046 - dense_1_loss_1: 3.8570 - dense_1_loss_2: 1.7225 - dense_1_loss_3: 0.6549 - dense_1_loss_4: 0.3029 - dense_1_loss_5: 0.1720 - dense_1_loss_6: 0.1193 - dense_1_loss_7: 0.1012 - dense_1_loss_8: 0.0928 - dense_1_loss_9: 0.0844 - dense_1_loss_10: 0.0711 - dense_1_loss_11: 0.0713 - dense_1_loss_12: 0.0694 - dense_1_loss_13: 0.0637 - dense_1_loss_14: 0.0685 - dense_1_loss_15: 0.0760 - dense_1_loss_16: 0.0708 - dense_1_loss_17: 0.0653 - dense_1_loss_18: 0.0654 - dense_1_loss_19: 0.0674 - dense_1_loss_20: 0.0739 - dense_1_loss_21: 0.0705 - dense_1_loss_22: 0.0712 - dense_1_loss_23: 0.0644 - dense_1_loss_24: 0.0653 - dense_1_loss_25: 0.0695 - dense_1_loss_26: 0.0664 - dense_1_loss_27: 0.0775 - dense_1_loss_28: 0.0720 - dense_1_loss_29: 0.0780 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8500 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 0.9833 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 65/100
60/60 [==============================] - 0s 3ms/step - loss: 8.3719 - dense_1_loss_1: 3.8536 - dense_1_loss_2: 1.6999 - dense_1_loss_3: 0.6405 - dense_1_loss_4: 0.2935 - dense_1_loss_5: 0.1651 - dense_1_loss_6: 0.1145 - dense_1_loss_7: 0.0968 - dense_1_loss_8: 0.0890 - dense_1_loss_9: 0.0808 - dense_1_loss_10: 0.0682 - dense_1_loss_11: 0.0682 - dense_1_loss_12: 0.0666 - dense_1_loss_13: 0.0608 - dense_1_loss_14: 0.0656 - dense_1_loss_15: 0.0723 - dense_1_loss_16: 0.0680 - dense_1_loss_17: 0.0624 - dense_1_loss_18: 0.0629 - dense_1_loss_19: 0.0647 - dense_1_loss_20: 0.0701 - dense_1_loss_21: 0.0677 - dense_1_loss_22: 0.0685 - dense_1_loss_23: 0.0617 - dense_1_loss_24: 0.0626 - dense_1_loss_25: 0.0668 - dense_1_loss_26: 0.0635 - dense_1_loss_27: 0.0740 - dense_1_loss_28: 0.0687 - dense_1_loss_29: 0.0751 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8500 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 66/100
60/60 [==============================] - 0s 4ms/step - loss: 8.2441 - dense_1_loss_1: 3.8500 - dense_1_loss_2: 1.6784 - dense_1_loss_3: 0.6252 - dense_1_loss_4: 0.2837 - dense_1_loss_5: 0.1586 - dense_1_loss_6: 0.1102 - dense_1_loss_7: 0.0927 - dense_1_loss_8: 0.0855 - dense_1_loss_9: 0.0775 - dense_1_loss_10: 0.0651 - dense_1_loss_11: 0.0654 - dense_1_loss_12: 0.0636 - dense_1_loss_13: 0.0581 - dense_1_loss_14: 0.0631 - dense_1_loss_15: 0.0685 - dense_1_loss_16: 0.0656 - dense_1_loss_17: 0.0598 - dense_1_loss_18: 0.0602 - dense_1_loss_19: 0.0619 - dense_1_loss_20: 0.0668 - dense_1_loss_21: 0.0651 - dense_1_loss_22: 0.0654 - dense_1_loss_23: 0.0594 - dense_1_loss_24: 0.0599 - dense_1_loss_25: 0.0644 - dense_1_loss_26: 0.0610 - dense_1_loss_27: 0.0710 - dense_1_loss_28: 0.0657 - dense_1_loss_29: 0.0722 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8667 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 67/100
60/60 [==============================] - 0s 4ms/step - loss: 8.1260 - dense_1_loss_1: 3.8463 - dense_1_loss_2: 1.6570 - dense_1_loss_3: 0.6117 - dense_1_loss_4: 0.2747 - dense_1_loss_5: 0.1533 - dense_1_loss_6: 0.1060 - dense_1_loss_7: 0.0895 - dense_1_loss_8: 0.0825 - dense_1_loss_9: 0.0747 - dense_1_loss_10: 0.0623 - dense_1_loss_11: 0.0628 - dense_1_loss_12: 0.0611 - dense_1_loss_13: 0.0558 - dense_1_loss_14: 0.0603 - dense_1_loss_15: 0.0657 - dense_1_loss_16: 0.0631 - dense_1_loss_17: 0.0575 - dense_1_loss_18: 0.0578 - dense_1_loss_19: 0.0594 - dense_1_loss_20: 0.0639 - dense_1_loss_21: 0.0626 - dense_1_loss_22: 0.0626 - dense_1_loss_23: 0.0570 - dense_1_loss_24: 0.0573 - dense_1_loss_25: 0.0619 - dense_1_loss_26: 0.0588 - dense_1_loss_27: 0.0681 - dense_1_loss_28: 0.0627 - dense_1_loss_29: 0.0695 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8667 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 68/100
60/60 [==============================] - 0s 3ms/step - loss: 8.0131 - dense_1_loss_1: 3.8430 - dense_1_loss_2: 1.6365 - dense_1_loss_3: 0.5979 - dense_1_loss_4: 0.2665 - dense_1_loss_5: 0.1476 - dense_1_loss_6: 0.1024 - dense_1_loss_7: 0.0862 - dense_1_loss_8: 0.0791 - dense_1_loss_9: 0.0721 - dense_1_loss_10: 0.0599 - dense_1_loss_11: 0.0604 - dense_1_loss_12: 0.0588 - dense_1_loss_13: 0.0536 - dense_1_loss_14: 0.0579 - dense_1_loss_15: 0.0632 - dense_1_loss_16: 0.0603 - dense_1_loss_17: 0.0552 - dense_1_loss_18: 0.0555 - dense_1_loss_19: 0.0572 - dense_1_loss_20: 0.0614 - dense_1_loss_21: 0.0601 - dense_1_loss_22: 0.0600 - dense_1_loss_23: 0.0547 - dense_1_loss_24: 0.0550 - dense_1_loss_25: 0.0594 - dense_1_loss_26: 0.0566 - dense_1_loss_27: 0.0655 - dense_1_loss_28: 0.0602 - dense_1_loss_29: 0.0669 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8667 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 69/100
60/60 [==============================] - 0s 3ms/step - loss: 7.9059 - dense_1_loss_1: 3.8396 - dense_1_loss_2: 1.6166 - dense_1_loss_3: 0.5857 - dense_1_loss_4: 0.2575 - dense_1_loss_5: 0.1423 - dense_1_loss_6: 0.0986 - dense_1_loss_7: 0.0834 - dense_1_loss_8: 0.0760 - dense_1_loss_9: 0.0696 - dense_1_loss_10: 0.0579 - dense_1_loss_11: 0.0581 - dense_1_loss_12: 0.0564 - dense_1_loss_13: 0.0516 - dense_1_loss_14: 0.0554 - dense_1_loss_15: 0.0612 - dense_1_loss_16: 0.0577 - dense_1_loss_17: 0.0529 - dense_1_loss_18: 0.0536 - dense_1_loss_19: 0.0549 - dense_1_loss_20: 0.0592 - dense_1_loss_21: 0.0576 - dense_1_loss_22: 0.0575 - dense_1_loss_23: 0.0525 - dense_1_loss_24: 0.0532 - dense_1_loss_25: 0.0570 - dense_1_loss_26: 0.0541 - dense_1_loss_27: 0.0633 - dense_1_loss_28: 0.0582 - dense_1_loss_29: 0.0644 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8667 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 70/100
60/60 [==============================] - 0s 3ms/step - loss: 7.8044 - dense_1_loss_1: 3.8364 - dense_1_loss_2: 1.5966 - dense_1_loss_3: 0.5726 - dense_1_loss_4: 0.2500 - dense_1_loss_5: 0.1373 - dense_1_loss_6: 0.0954 - dense_1_loss_7: 0.0805 - dense_1_loss_8: 0.0732 - dense_1_loss_9: 0.0674 - dense_1_loss_10: 0.0559 - dense_1_loss_11: 0.0559 - dense_1_loss_12: 0.0545 - dense_1_loss_13: 0.0497 - dense_1_loss_14: 0.0533 - dense_1_loss_15: 0.0591 - dense_1_loss_16: 0.0554 - dense_1_loss_17: 0.0509 - dense_1_loss_18: 0.0516 - dense_1_loss_19: 0.0528 - dense_1_loss_20: 0.0570 - dense_1_loss_21: 0.0553 - dense_1_loss_22: 0.0554 - dense_1_loss_23: 0.0504 - dense_1_loss_24: 0.0513 - dense_1_loss_25: 0.0549 - dense_1_loss_26: 0.0521 - dense_1_loss_27: 0.0612 - dense_1_loss_28: 0.0562 - dense_1_loss_29: 0.0620 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8667 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 71/100
60/60 [==============================] - 0s 3ms/step - loss: 7.7085 - dense_1_loss_1: 3.8330 - dense_1_loss_2: 1.5788 - dense_1_loss_3: 0.5606 - dense_1_loss_4: 0.2420 - dense_1_loss_5: 0.1324 - dense_1_loss_6: 0.0926 - dense_1_loss_7: 0.0776 - dense_1_loss_8: 0.0709 - dense_1_loss_9: 0.0649 - dense_1_loss_10: 0.0540 - dense_1_loss_11: 0.0539 - dense_1_loss_12: 0.0526 - dense_1_loss_13: 0.0480 - dense_1_loss_14: 0.0514 - dense_1_loss_15: 0.0570 - dense_1_loss_16: 0.0535 - dense_1_loss_17: 0.0491 - dense_1_loss_18: 0.0498 - dense_1_loss_19: 0.0509 - dense_1_loss_20: 0.0550 - dense_1_loss_21: 0.0533 - dense_1_loss_22: 0.0532 - dense_1_loss_23: 0.0485 - dense_1_loss_24: 0.0495 - dense_1_loss_25: 0.0530 - dense_1_loss_26: 0.0502 - dense_1_loss_27: 0.0588 - dense_1_loss_28: 0.0540 - dense_1_loss_29: 0.0599 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8833 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 72/100
60/60 [==============================] - 0s 3ms/step - loss: 7.6168 - dense_1_loss_1: 3.8299 - dense_1_loss_2: 1.5600 - dense_1_loss_3: 0.5487 - dense_1_loss_4: 0.2358 - dense_1_loss_5: 0.1280 - dense_1_loss_6: 0.0899 - dense_1_loss_7: 0.0749 - dense_1_loss_8: 0.0688 - dense_1_loss_9: 0.0625 - dense_1_loss_10: 0.0521 - dense_1_loss_11: 0.0521 - dense_1_loss_12: 0.0507 - dense_1_loss_13: 0.0463 - dense_1_loss_14: 0.0496 - dense_1_loss_15: 0.0548 - dense_1_loss_16: 0.0517 - dense_1_loss_17: 0.0475 - dense_1_loss_18: 0.0479 - dense_1_loss_19: 0.0491 - dense_1_loss_20: 0.0530 - dense_1_loss_21: 0.0514 - dense_1_loss_22: 0.0513 - dense_1_loss_23: 0.0467 - dense_1_loss_24: 0.0480 - dense_1_loss_25: 0.0512 - dense_1_loss_26: 0.0482 - dense_1_loss_27: 0.0567 - dense_1_loss_28: 0.0520 - dense_1_loss_29: 0.0579 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8833 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 73/100
60/60 [==============================] - 0s 3ms/step - loss: 7.5316 - dense_1_loss_1: 3.8264 - dense_1_loss_2: 1.5426 - dense_1_loss_3: 0.5381 - dense_1_loss_4: 0.2293 - dense_1_loss_5: 0.1242 - dense_1_loss_6: 0.0872 - dense_1_loss_7: 0.0725 - dense_1_loss_8: 0.0668 - dense_1_loss_9: 0.0605 - dense_1_loss_10: 0.0505 - dense_1_loss_11: 0.0503 - dense_1_loss_12: 0.0491 - dense_1_loss_13: 0.0447 - dense_1_loss_14: 0.0480 - dense_1_loss_15: 0.0527 - dense_1_loss_16: 0.0500 - dense_1_loss_17: 0.0460 - dense_1_loss_18: 0.0463 - dense_1_loss_19: 0.0474 - dense_1_loss_20: 0.0511 - dense_1_loss_21: 0.0497 - dense_1_loss_22: 0.0496 - dense_1_loss_23: 0.0452 - dense_1_loss_24: 0.0464 - dense_1_loss_25: 0.0496 - dense_1_loss_26: 0.0466 - dense_1_loss_27: 0.0549 - dense_1_loss_28: 0.0503 - dense_1_loss_29: 0.0560 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8833 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 74/100
60/60 [==============================] - 0s 3ms/step - loss: 7.4463 - dense_1_loss_1: 3.8231 - dense_1_loss_2: 1.5253 - dense_1_loss_3: 0.5270 - dense_1_loss_4: 0.2217 - dense_1_loss_5: 0.1203 - dense_1_loss_6: 0.0844 - dense_1_loss_7: 0.0701 - dense_1_loss_8: 0.0646 - dense_1_loss_9: 0.0585 - dense_1_loss_10: 0.0486 - dense_1_loss_11: 0.0486 - dense_1_loss_12: 0.0474 - dense_1_loss_13: 0.0432 - dense_1_loss_14: 0.0463 - dense_1_loss_15: 0.0508 - dense_1_loss_16: 0.0483 - dense_1_loss_17: 0.0444 - dense_1_loss_18: 0.0450 - dense_1_loss_19: 0.0458 - dense_1_loss_20: 0.0492 - dense_1_loss_21: 0.0480 - dense_1_loss_22: 0.0481 - dense_1_loss_23: 0.0437 - dense_1_loss_24: 0.0446 - dense_1_loss_25: 0.0481 - dense_1_loss_26: 0.0452 - dense_1_loss_27: 0.0530 - dense_1_loss_28: 0.0487 - dense_1_loss_29: 0.0543 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8833 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 75/100
60/60 [==============================] - 0s 3ms/step - loss: 7.3687 - dense_1_loss_1: 3.8203 - dense_1_loss_2: 1.5086 - dense_1_loss_3: 0.5167 - dense_1_loss_4: 0.2158 - dense_1_loss_5: 0.1165 - dense_1_loss_6: 0.0820 - dense_1_loss_7: 0.0680 - dense_1_loss_8: 0.0625 - dense_1_loss_9: 0.0568 - dense_1_loss_10: 0.0472 - dense_1_loss_11: 0.0469 - dense_1_loss_12: 0.0458 - dense_1_loss_13: 0.0418 - dense_1_loss_14: 0.0448 - dense_1_loss_15: 0.0492 - dense_1_loss_16: 0.0467 - dense_1_loss_17: 0.0430 - dense_1_loss_18: 0.0436 - dense_1_loss_19: 0.0444 - dense_1_loss_20: 0.0477 - dense_1_loss_21: 0.0464 - dense_1_loss_22: 0.0467 - dense_1_loss_23: 0.0422 - dense_1_loss_24: 0.0433 - dense_1_loss_25: 0.0465 - dense_1_loss_26: 0.0438 - dense_1_loss_27: 0.0512 - dense_1_loss_28: 0.0474 - dense_1_loss_29: 0.0526 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8833 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 76/100
60/60 [==============================] - 0s 3ms/step - loss: 7.2925 - dense_1_loss_1: 3.8171 - dense_1_loss_2: 1.4924 - dense_1_loss_3: 0.5064 - dense_1_loss_4: 0.2095 - dense_1_loss_5: 0.1131 - dense_1_loss_6: 0.0795 - dense_1_loss_7: 0.0659 - dense_1_loss_8: 0.0607 - dense_1_loss_9: 0.0552 - dense_1_loss_10: 0.0458 - dense_1_loss_11: 0.0455 - dense_1_loss_12: 0.0443 - dense_1_loss_13: 0.0407 - dense_1_loss_14: 0.0434 - dense_1_loss_15: 0.0477 - dense_1_loss_16: 0.0452 - dense_1_loss_17: 0.0417 - dense_1_loss_18: 0.0422 - dense_1_loss_19: 0.0431 - dense_1_loss_20: 0.0463 - dense_1_loss_21: 0.0450 - dense_1_loss_22: 0.0451 - dense_1_loss_23: 0.0409 - dense_1_loss_24: 0.0421 - dense_1_loss_25: 0.0450 - dense_1_loss_26: 0.0423 - dense_1_loss_27: 0.0497 - dense_1_loss_28: 0.0461 - dense_1_loss_29: 0.0506 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8833 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 77/100
60/60 [==============================] - 0s 3ms/step - loss: 7.2224 - dense_1_loss_1: 3.8141 - dense_1_loss_2: 1.4769 - dense_1_loss_3: 0.4971 - dense_1_loss_4: 0.2047 - dense_1_loss_5: 0.1100 - dense_1_loss_6: 0.0775 - dense_1_loss_7: 0.0639 - dense_1_loss_8: 0.0590 - dense_1_loss_9: 0.0536 - dense_1_loss_10: 0.0445 - dense_1_loss_11: 0.0442 - dense_1_loss_12: 0.0429 - dense_1_loss_13: 0.0395 - dense_1_loss_14: 0.0421 - dense_1_loss_15: 0.0463 - dense_1_loss_16: 0.0438 - dense_1_loss_17: 0.0404 - dense_1_loss_18: 0.0409 - dense_1_loss_19: 0.0419 - dense_1_loss_20: 0.0449 - dense_1_loss_21: 0.0436 - dense_1_loss_22: 0.0435 - dense_1_loss_23: 0.0397 - dense_1_loss_24: 0.0408 - dense_1_loss_25: 0.0437 - dense_1_loss_26: 0.0412 - dense_1_loss_27: 0.0480 - dense_1_loss_28: 0.0447 - dense_1_loss_29: 0.0491 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8833 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 78/100
60/60 [==============================] - 0s 3ms/step - loss: 7.1521 - dense_1_loss_1: 3.8109 - dense_1_loss_2: 1.4613 - dense_1_loss_3: 0.4873 - dense_1_loss_4: 0.1993 - dense_1_loss_5: 0.1070 - dense_1_loss_6: 0.0753 - dense_1_loss_7: 0.0619 - dense_1_loss_8: 0.0573 - dense_1_loss_9: 0.0520 - dense_1_loss_10: 0.0433 - dense_1_loss_11: 0.0428 - dense_1_loss_12: 0.0416 - dense_1_loss_13: 0.0383 - dense_1_loss_14: 0.0408 - dense_1_loss_15: 0.0448 - dense_1_loss_16: 0.0425 - dense_1_loss_17: 0.0392 - dense_1_loss_18: 0.0396 - dense_1_loss_19: 0.0406 - dense_1_loss_20: 0.0434 - dense_1_loss_21: 0.0423 - dense_1_loss_22: 0.0422 - dense_1_loss_23: 0.0385 - dense_1_loss_24: 0.0395 - dense_1_loss_25: 0.0425 - dense_1_loss_26: 0.0400 - dense_1_loss_27: 0.0467 - dense_1_loss_28: 0.0432 - dense_1_loss_29: 0.0479 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8833 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 79/100
60/60 [==============================] - 0s 3ms/step - loss: 7.0842 - dense_1_loss_1: 3.8081 - dense_1_loss_2: 1.4466 - dense_1_loss_3: 0.4769 - dense_1_loss_4: 0.1934 - dense_1_loss_5: 0.1040 - dense_1_loss_6: 0.0732 - dense_1_loss_7: 0.0601 - dense_1_loss_8: 0.0557 - dense_1_loss_9: 0.0505 - dense_1_loss_10: 0.0421 - dense_1_loss_11: 0.0416 - dense_1_loss_12: 0.0404 - dense_1_loss_13: 0.0371 - dense_1_loss_14: 0.0396 - dense_1_loss_15: 0.0435 - dense_1_loss_16: 0.0412 - dense_1_loss_17: 0.0381 - dense_1_loss_18: 0.0385 - dense_1_loss_19: 0.0393 - dense_1_loss_20: 0.0420 - dense_1_loss_21: 0.0411 - dense_1_loss_22: 0.0410 - dense_1_loss_23: 0.0375 - dense_1_loss_24: 0.0383 - dense_1_loss_25: 0.0414 - dense_1_loss_26: 0.0388 - dense_1_loss_27: 0.0454 - dense_1_loss_28: 0.0419 - dense_1_loss_29: 0.0466 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8833 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 80/100
60/60 [==============================] - 0s 3ms/step - loss: 7.0208 - dense_1_loss_1: 3.8049 - dense_1_loss_2: 1.4317 - dense_1_loss_3: 0.4686 - dense_1_loss_4: 0.1889 - dense_1_loss_5: 0.1012 - dense_1_loss_6: 0.0713 - dense_1_loss_7: 0.0585 - dense_1_loss_8: 0.0542 - dense_1_loss_9: 0.0494 - dense_1_loss_10: 0.0409 - dense_1_loss_11: 0.0403 - dense_1_loss_12: 0.0393 - dense_1_loss_13: 0.0360 - dense_1_loss_14: 0.0385 - dense_1_loss_15: 0.0422 - dense_1_loss_16: 0.0400 - dense_1_loss_17: 0.0369 - dense_1_loss_18: 0.0374 - dense_1_loss_19: 0.0381 - dense_1_loss_20: 0.0407 - dense_1_loss_21: 0.0399 - dense_1_loss_22: 0.0400 - dense_1_loss_23: 0.0363 - dense_1_loss_24: 0.0373 - dense_1_loss_25: 0.0402 - dense_1_loss_26: 0.0375 - dense_1_loss_27: 0.0445 - dense_1_loss_28: 0.0408 - dense_1_loss_29: 0.0450 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8833 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 81/100
60/60 [==============================] - 0s 3ms/step - loss: 6.9587 - dense_1_loss_1: 3.8020 - dense_1_loss_2: 1.4176 - dense_1_loss_3: 0.4595 - dense_1_loss_4: 0.1838 - dense_1_loss_5: 0.0984 - dense_1_loss_6: 0.0694 - dense_1_loss_7: 0.0570 - dense_1_loss_8: 0.0526 - dense_1_loss_9: 0.0481 - dense_1_loss_10: 0.0399 - dense_1_loss_11: 0.0392 - dense_1_loss_12: 0.0381 - dense_1_loss_13: 0.0351 - dense_1_loss_14: 0.0374 - dense_1_loss_15: 0.0410 - dense_1_loss_16: 0.0388 - dense_1_loss_17: 0.0359 - dense_1_loss_18: 0.0365 - dense_1_loss_19: 0.0370 - dense_1_loss_20: 0.0396 - dense_1_loss_21: 0.0388 - dense_1_loss_22: 0.0390 - dense_1_loss_23: 0.0352 - dense_1_loss_24: 0.0364 - dense_1_loss_25: 0.0390 - dense_1_loss_26: 0.0365 - dense_1_loss_27: 0.0433 - dense_1_loss_28: 0.0398 - dense_1_loss_29: 0.0439 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8833 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 82/100
60/60 [==============================] - 0s 3ms/step - loss: 6.9012 - dense_1_loss_1: 3.7991 - dense_1_loss_2: 1.4041 - dense_1_loss_3: 0.4516 - dense_1_loss_4: 0.1799 - dense_1_loss_5: 0.0960 - dense_1_loss_6: 0.0678 - dense_1_loss_7: 0.0554 - dense_1_loss_8: 0.0513 - dense_1_loss_9: 0.0468 - dense_1_loss_10: 0.0388 - dense_1_loss_11: 0.0381 - dense_1_loss_12: 0.0371 - dense_1_loss_13: 0.0342 - dense_1_loss_14: 0.0364 - dense_1_loss_15: 0.0400 - dense_1_loss_16: 0.0378 - dense_1_loss_17: 0.0349 - dense_1_loss_18: 0.0354 - dense_1_loss_19: 0.0361 - dense_1_loss_20: 0.0386 - dense_1_loss_21: 0.0377 - dense_1_loss_22: 0.0378 - dense_1_loss_23: 0.0341 - dense_1_loss_24: 0.0354 - dense_1_loss_25: 0.0380 - dense_1_loss_26: 0.0355 - dense_1_loss_27: 0.0420 - dense_1_loss_28: 0.0387 - dense_1_loss_29: 0.0426 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8833 - dense_1_acc_4: 0.9667 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 83/100
60/60 [==============================] - 0s 4ms/step - loss: 6.8424 - dense_1_loss_1: 3.7963 - dense_1_loss_2: 1.3897 - dense_1_loss_3: 0.4432 - dense_1_loss_4: 0.1746 - dense_1_loss_5: 0.0936 - dense_1_loss_6: 0.0659 - dense_1_loss_7: 0.0539 - dense_1_loss_8: 0.0499 - dense_1_loss_9: 0.0456 - dense_1_loss_10: 0.0378 - dense_1_loss_11: 0.0371 - dense_1_loss_12: 0.0360 - dense_1_loss_13: 0.0333 - dense_1_loss_14: 0.0354 - dense_1_loss_15: 0.0388 - dense_1_loss_16: 0.0368 - dense_1_loss_17: 0.0340 - dense_1_loss_18: 0.0345 - dense_1_loss_19: 0.0352 - dense_1_loss_20: 0.0377 - dense_1_loss_21: 0.0367 - dense_1_loss_22: 0.0367 - dense_1_loss_23: 0.0331 - dense_1_loss_24: 0.0345 - dense_1_loss_25: 0.0370 - dense_1_loss_26: 0.0346 - dense_1_loss_27: 0.0409 - dense_1_loss_28: 0.0376 - dense_1_loss_29: 0.0417 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8833 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 84/100
60/60 [==============================] - 0s 3ms/step - loss: 6.7877 - dense_1_loss_1: 3.7934 - dense_1_loss_2: 1.3761 - dense_1_loss_3: 0.4354 - dense_1_loss_4: 0.1706 - dense_1_loss_5: 0.0914 - dense_1_loss_6: 0.0643 - dense_1_loss_7: 0.0526 - dense_1_loss_8: 0.0487 - dense_1_loss_9: 0.0445 - dense_1_loss_10: 0.0368 - dense_1_loss_11: 0.0361 - dense_1_loss_12: 0.0351 - dense_1_loss_13: 0.0324 - dense_1_loss_14: 0.0345 - dense_1_loss_15: 0.0377 - dense_1_loss_16: 0.0359 - dense_1_loss_17: 0.0331 - dense_1_loss_18: 0.0337 - dense_1_loss_19: 0.0343 - dense_1_loss_20: 0.0366 - dense_1_loss_21: 0.0358 - dense_1_loss_22: 0.0357 - dense_1_loss_23: 0.0323 - dense_1_loss_24: 0.0336 - dense_1_loss_25: 0.0361 - dense_1_loss_26: 0.0338 - dense_1_loss_27: 0.0398 - dense_1_loss_28: 0.0366 - dense_1_loss_29: 0.0407 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8833 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 85/100
60/60 [==============================] - 0s 3ms/step - loss: 6.7346 - dense_1_loss_1: 3.7904 - dense_1_loss_2: 1.3637 - dense_1_loss_3: 0.4271 - dense_1_loss_4: 0.1664 - dense_1_loss_5: 0.0889 - dense_1_loss_6: 0.0628 - dense_1_loss_7: 0.0512 - dense_1_loss_8: 0.0474 - dense_1_loss_9: 0.0434 - dense_1_loss_10: 0.0360 - dense_1_loss_11: 0.0351 - dense_1_loss_12: 0.0343 - dense_1_loss_13: 0.0316 - dense_1_loss_14: 0.0336 - dense_1_loss_15: 0.0366 - dense_1_loss_16: 0.0351 - dense_1_loss_17: 0.0324 - dense_1_loss_18: 0.0329 - dense_1_loss_19: 0.0334 - dense_1_loss_20: 0.0357 - dense_1_loss_21: 0.0349 - dense_1_loss_22: 0.0349 - dense_1_loss_23: 0.0315 - dense_1_loss_24: 0.0327 - dense_1_loss_25: 0.0352 - dense_1_loss_26: 0.0331 - dense_1_loss_27: 0.0387 - dense_1_loss_28: 0.0357 - dense_1_loss_29: 0.0398 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5667 - dense_1_acc_3: 0.8833 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 86/100
60/60 [==============================] - 0s 3ms/step - loss: 6.6839 - dense_1_loss_1: 3.7878 - dense_1_loss_2: 1.3503 - dense_1_loss_3: 0.4201 - dense_1_loss_4: 0.1625 - dense_1_loss_5: 0.0869 - dense_1_loss_6: 0.0615 - dense_1_loss_7: 0.0500 - dense_1_loss_8: 0.0464 - dense_1_loss_9: 0.0423 - dense_1_loss_10: 0.0351 - dense_1_loss_11: 0.0342 - dense_1_loss_12: 0.0334 - dense_1_loss_13: 0.0308 - dense_1_loss_14: 0.0327 - dense_1_loss_15: 0.0357 - dense_1_loss_16: 0.0342 - dense_1_loss_17: 0.0316 - dense_1_loss_18: 0.0321 - dense_1_loss_19: 0.0326 - dense_1_loss_20: 0.0348 - dense_1_loss_21: 0.0340 - dense_1_loss_22: 0.0341 - dense_1_loss_23: 0.0308 - dense_1_loss_24: 0.0320 - dense_1_loss_25: 0.0344 - dense_1_loss_26: 0.0322 - dense_1_loss_27: 0.0379 - dense_1_loss_28: 0.0348 - dense_1_loss_29: 0.0389 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.5833 - dense_1_acc_3: 0.9000 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 87/100
60/60 [==============================] - 0s 3ms/step - loss: 6.6353 - dense_1_loss_1: 3.7846 - dense_1_loss_2: 1.3386 - dense_1_loss_3: 0.4129 - dense_1_loss_4: 0.1591 - dense_1_loss_5: 0.0850 - dense_1_loss_6: 0.0602 - dense_1_loss_7: 0.0488 - dense_1_loss_8: 0.0453 - dense_1_loss_9: 0.0413 - dense_1_loss_10: 0.0343 - dense_1_loss_11: 0.0334 - dense_1_loss_12: 0.0326 - dense_1_loss_13: 0.0301 - dense_1_loss_14: 0.0318 - dense_1_loss_15: 0.0349 - dense_1_loss_16: 0.0333 - dense_1_loss_17: 0.0308 - dense_1_loss_18: 0.0313 - dense_1_loss_19: 0.0318 - dense_1_loss_20: 0.0339 - dense_1_loss_21: 0.0330 - dense_1_loss_22: 0.0333 - dense_1_loss_23: 0.0300 - dense_1_loss_24: 0.0312 - dense_1_loss_25: 0.0336 - dense_1_loss_26: 0.0314 - dense_1_loss_27: 0.0370 - dense_1_loss_28: 0.0339 - dense_1_loss_29: 0.0379 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.6000 - dense_1_acc_3: 0.9000 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 88/100
60/60 [==============================] - 0s 3ms/step - loss: 6.5869 - dense_1_loss_1: 3.7818 - dense_1_loss_2: 1.3262 - dense_1_loss_3: 0.4058 - dense_1_loss_4: 0.1554 - dense_1_loss_5: 0.0830 - dense_1_loss_6: 0.0589 - dense_1_loss_7: 0.0475 - dense_1_loss_8: 0.0443 - dense_1_loss_9: 0.0404 - dense_1_loss_10: 0.0336 - dense_1_loss_11: 0.0326 - dense_1_loss_12: 0.0319 - dense_1_loss_13: 0.0294 - dense_1_loss_14: 0.0311 - dense_1_loss_15: 0.0341 - dense_1_loss_16: 0.0324 - dense_1_loss_17: 0.0300 - dense_1_loss_18: 0.0305 - dense_1_loss_19: 0.0311 - dense_1_loss_20: 0.0331 - dense_1_loss_21: 0.0322 - dense_1_loss_22: 0.0324 - dense_1_loss_23: 0.0292 - dense_1_loss_24: 0.0305 - dense_1_loss_25: 0.0327 - dense_1_loss_26: 0.0305 - dense_1_loss_27: 0.0363 - dense_1_loss_28: 0.0331 - dense_1_loss_29: 0.0369 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.6333 - dense_1_acc_3: 0.9000 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 89/100
60/60 [==============================] - 0s 3ms/step - loss: 6.5401 - dense_1_loss_1: 3.7790 - dense_1_loss_2: 1.3140 - dense_1_loss_3: 0.3989 - dense_1_loss_4: 0.1514 - dense_1_loss_5: 0.0813 - dense_1_loss_6: 0.0575 - dense_1_loss_7: 0.0464 - dense_1_loss_8: 0.0433 - dense_1_loss_9: 0.0394 - dense_1_loss_10: 0.0329 - dense_1_loss_11: 0.0318 - dense_1_loss_12: 0.0311 - dense_1_loss_13: 0.0287 - dense_1_loss_14: 0.0304 - dense_1_loss_15: 0.0333 - dense_1_loss_16: 0.0316 - dense_1_loss_17: 0.0294 - dense_1_loss_18: 0.0298 - dense_1_loss_19: 0.0303 - dense_1_loss_20: 0.0324 - dense_1_loss_21: 0.0314 - dense_1_loss_22: 0.0316 - dense_1_loss_23: 0.0285 - dense_1_loss_24: 0.0299 - dense_1_loss_25: 0.0320 - dense_1_loss_26: 0.0298 - dense_1_loss_27: 0.0355 - dense_1_loss_28: 0.0324 - dense_1_loss_29: 0.0361 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.6333 - dense_1_acc_3: 0.9000 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 90/100
60/60 [==============================] - 0s 3ms/step - loss: 6.4961 - dense_1_loss_1: 3.7762 - dense_1_loss_2: 1.3026 - dense_1_loss_3: 0.3922 - dense_1_loss_4: 0.1483 - dense_1_loss_5: 0.0796 - dense_1_loss_6: 0.0563 - dense_1_loss_7: 0.0454 - dense_1_loss_8: 0.0424 - dense_1_loss_9: 0.0386 - dense_1_loss_10: 0.0322 - dense_1_loss_11: 0.0312 - dense_1_loss_12: 0.0304 - dense_1_loss_13: 0.0280 - dense_1_loss_14: 0.0297 - dense_1_loss_15: 0.0325 - dense_1_loss_16: 0.0309 - dense_1_loss_17: 0.0287 - dense_1_loss_18: 0.0291 - dense_1_loss_19: 0.0297 - dense_1_loss_20: 0.0316 - dense_1_loss_21: 0.0306 - dense_1_loss_22: 0.0309 - dense_1_loss_23: 0.0278 - dense_1_loss_24: 0.0291 - dense_1_loss_25: 0.0313 - dense_1_loss_26: 0.0292 - dense_1_loss_27: 0.0346 - dense_1_loss_28: 0.0316 - dense_1_loss_29: 0.0353 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.6333 - dense_1_acc_3: 0.9000 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 91/100
60/60 [==============================] - 0s 3ms/step - loss: 6.4534 - dense_1_loss_1: 3.7736 - dense_1_loss_2: 1.2912 - dense_1_loss_3: 0.3861 - dense_1_loss_4: 0.1451 - dense_1_loss_5: 0.0779 - dense_1_loss_6: 0.0551 - dense_1_loss_7: 0.0444 - dense_1_loss_8: 0.0415 - dense_1_loss_9: 0.0378 - dense_1_loss_10: 0.0315 - dense_1_loss_11: 0.0305 - dense_1_loss_12: 0.0297 - dense_1_loss_13: 0.0274 - dense_1_loss_14: 0.0290 - dense_1_loss_15: 0.0318 - dense_1_loss_16: 0.0302 - dense_1_loss_17: 0.0280 - dense_1_loss_18: 0.0285 - dense_1_loss_19: 0.0290 - dense_1_loss_20: 0.0309 - dense_1_loss_21: 0.0300 - dense_1_loss_22: 0.0302 - dense_1_loss_23: 0.0272 - dense_1_loss_24: 0.0285 - dense_1_loss_25: 0.0307 - dense_1_loss_26: 0.0286 - dense_1_loss_27: 0.0337 - dense_1_loss_28: 0.0309 - dense_1_loss_29: 0.0347 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.6500 - dense_1_acc_3: 0.9000 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 92/100
60/60 [==============================] - 0s 3ms/step - loss: 6.4104 - dense_1_loss_1: 3.7707 - dense_1_loss_2: 1.2799 - dense_1_loss_3: 0.3795 - dense_1_loss_4: 0.1418 - dense_1_loss_5: 0.0763 - dense_1_loss_6: 0.0539 - dense_1_loss_7: 0.0434 - dense_1_loss_8: 0.0406 - dense_1_loss_9: 0.0370 - dense_1_loss_10: 0.0308 - dense_1_loss_11: 0.0298 - dense_1_loss_12: 0.0290 - dense_1_loss_13: 0.0268 - dense_1_loss_14: 0.0283 - dense_1_loss_15: 0.0311 - dense_1_loss_16: 0.0295 - dense_1_loss_17: 0.0273 - dense_1_loss_18: 0.0279 - dense_1_loss_19: 0.0283 - dense_1_loss_20: 0.0302 - dense_1_loss_21: 0.0293 - dense_1_loss_22: 0.0295 - dense_1_loss_23: 0.0266 - dense_1_loss_24: 0.0278 - dense_1_loss_25: 0.0300 - dense_1_loss_26: 0.0280 - dense_1_loss_27: 0.0329 - dense_1_loss_28: 0.0302 - dense_1_loss_29: 0.0339 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.6500 - dense_1_acc_3: 0.9000 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 93/100
60/60 [==============================] - 0s 3ms/step - loss: 6.3704 - dense_1_loss_1: 3.7679 - dense_1_loss_2: 1.2692 - dense_1_loss_3: 0.3736 - dense_1_loss_4: 0.1388 - dense_1_loss_5: 0.0749 - dense_1_loss_6: 0.0528 - dense_1_loss_7: 0.0425 - dense_1_loss_8: 0.0397 - dense_1_loss_9: 0.0363 - dense_1_loss_10: 0.0302 - dense_1_loss_11: 0.0292 - dense_1_loss_12: 0.0284 - dense_1_loss_13: 0.0262 - dense_1_loss_14: 0.0277 - dense_1_loss_15: 0.0303 - dense_1_loss_16: 0.0288 - dense_1_loss_17: 0.0267 - dense_1_loss_18: 0.0273 - dense_1_loss_19: 0.0277 - dense_1_loss_20: 0.0295 - dense_1_loss_21: 0.0287 - dense_1_loss_22: 0.0289 - dense_1_loss_23: 0.0260 - dense_1_loss_24: 0.0273 - dense_1_loss_25: 0.0293 - dense_1_loss_26: 0.0273 - dense_1_loss_27: 0.0323 - dense_1_loss_28: 0.0297 - dense_1_loss_29: 0.0331 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.6500 - dense_1_acc_3: 0.9000 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 94/100
60/60 [==============================] - 0s 3ms/step - loss: 6.3311 - dense_1_loss_1: 3.7655 - dense_1_loss_2: 1.2582 - dense_1_loss_3: 0.3672 - dense_1_loss_4: 0.1361 - dense_1_loss_5: 0.0733 - dense_1_loss_6: 0.0518 - dense_1_loss_7: 0.0417 - dense_1_loss_8: 0.0389 - dense_1_loss_9: 0.0356 - dense_1_loss_10: 0.0296 - dense_1_loss_11: 0.0286 - dense_1_loss_12: 0.0278 - dense_1_loss_13: 0.0257 - dense_1_loss_14: 0.0271 - dense_1_loss_15: 0.0297 - dense_1_loss_16: 0.0283 - dense_1_loss_17: 0.0262 - dense_1_loss_18: 0.0268 - dense_1_loss_19: 0.0272 - dense_1_loss_20: 0.0289 - dense_1_loss_21: 0.0281 - dense_1_loss_22: 0.0283 - dense_1_loss_23: 0.0254 - dense_1_loss_24: 0.0268 - dense_1_loss_25: 0.0287 - dense_1_loss_26: 0.0267 - dense_1_loss_27: 0.0318 - dense_1_loss_28: 0.0290 - dense_1_loss_29: 0.0324 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.6500 - dense_1_acc_3: 0.9000 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 95/100
60/60 [==============================] - 0s 3ms/step - loss: 6.2921 - dense_1_loss_1: 3.7627 - dense_1_loss_2: 1.2480 - dense_1_loss_3: 0.3609 - dense_1_loss_4: 0.1330 - dense_1_loss_5: 0.0719 - dense_1_loss_6: 0.0507 - dense_1_loss_7: 0.0408 - dense_1_loss_8: 0.0381 - dense_1_loss_9: 0.0349 - dense_1_loss_10: 0.0290 - dense_1_loss_11: 0.0279 - dense_1_loss_12: 0.0273 - dense_1_loss_13: 0.0251 - dense_1_loss_14: 0.0264 - dense_1_loss_15: 0.0290 - dense_1_loss_16: 0.0277 - dense_1_loss_17: 0.0256 - dense_1_loss_18: 0.0262 - dense_1_loss_19: 0.0266 - dense_1_loss_20: 0.0283 - dense_1_loss_21: 0.0275 - dense_1_loss_22: 0.0277 - dense_1_loss_23: 0.0249 - dense_1_loss_24: 0.0262 - dense_1_loss_25: 0.0281 - dense_1_loss_26: 0.0262 - dense_1_loss_27: 0.0312 - dense_1_loss_28: 0.0284 - dense_1_loss_29: 0.0318 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.6500 - dense_1_acc_3: 0.9000 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 96/100
60/60 [==============================] - 0s 3ms/step - loss: 6.2549 - dense_1_loss_1: 3.7600 - dense_1_loss_2: 1.2372 - dense_1_loss_3: 0.3553 - dense_1_loss_4: 0.1305 - dense_1_loss_5: 0.0705 - dense_1_loss_6: 0.0498 - dense_1_loss_7: 0.0400 - dense_1_loss_8: 0.0373 - dense_1_loss_9: 0.0343 - dense_1_loss_10: 0.0284 - dense_1_loss_11: 0.0274 - dense_1_loss_12: 0.0267 - dense_1_loss_13: 0.0246 - dense_1_loss_14: 0.0260 - dense_1_loss_15: 0.0284 - dense_1_loss_16: 0.0272 - dense_1_loss_17: 0.0251 - dense_1_loss_18: 0.0257 - dense_1_loss_19: 0.0260 - dense_1_loss_20: 0.0276 - dense_1_loss_21: 0.0269 - dense_1_loss_22: 0.0271 - dense_1_loss_23: 0.0243 - dense_1_loss_24: 0.0256 - dense_1_loss_25: 0.0276 - dense_1_loss_26: 0.0257 - dense_1_loss_27: 0.0306 - dense_1_loss_28: 0.0277 - dense_1_loss_29: 0.0312 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.6500 - dense_1_acc_3: 0.9167 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 97/100
60/60 [==============================] - 0s 3ms/step - loss: 6.2178 - dense_1_loss_1: 3.7574 - dense_1_loss_2: 1.2268 - dense_1_loss_3: 0.3497 - dense_1_loss_4: 0.1276 - dense_1_loss_5: 0.0691 - dense_1_loss_6: 0.0489 - dense_1_loss_7: 0.0391 - dense_1_loss_8: 0.0366 - dense_1_loss_9: 0.0337 - dense_1_loss_10: 0.0278 - dense_1_loss_11: 0.0268 - dense_1_loss_12: 0.0262 - dense_1_loss_13: 0.0241 - dense_1_loss_14: 0.0254 - dense_1_loss_15: 0.0278 - dense_1_loss_16: 0.0266 - dense_1_loss_17: 0.0246 - dense_1_loss_18: 0.0252 - dense_1_loss_19: 0.0255 - dense_1_loss_20: 0.0271 - dense_1_loss_21: 0.0264 - dense_1_loss_22: 0.0267 - dense_1_loss_23: 0.0238 - dense_1_loss_24: 0.0250 - dense_1_loss_25: 0.0270 - dense_1_loss_26: 0.0252 - dense_1_loss_27: 0.0299 - dense_1_loss_28: 0.0272 - dense_1_loss_29: 0.0306 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.6500 - dense_1_acc_3: 0.9167 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 98/100
60/60 [==============================] - 0s 3ms/step - loss: 6.1842 - dense_1_loss_1: 3.7547 - dense_1_loss_2: 1.2175 - dense_1_loss_3: 0.3448 - dense_1_loss_4: 0.1255 - dense_1_loss_5: 0.0676 - dense_1_loss_6: 0.0481 - dense_1_loss_7: 0.0384 - dense_1_loss_8: 0.0359 - dense_1_loss_9: 0.0331 - dense_1_loss_10: 0.0272 - dense_1_loss_11: 0.0263 - dense_1_loss_12: 0.0258 - dense_1_loss_13: 0.0236 - dense_1_loss_14: 0.0249 - dense_1_loss_15: 0.0272 - dense_1_loss_16: 0.0261 - dense_1_loss_17: 0.0242 - dense_1_loss_18: 0.0247 - dense_1_loss_19: 0.0250 - dense_1_loss_20: 0.0266 - dense_1_loss_21: 0.0258 - dense_1_loss_22: 0.0262 - dense_1_loss_23: 0.0233 - dense_1_loss_24: 0.0245 - dense_1_loss_25: 0.0265 - dense_1_loss_26: 0.0247 - dense_1_loss_27: 0.0293 - dense_1_loss_28: 0.0266 - dense_1_loss_29: 0.0300 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.6500 - dense_1_acc_3: 0.9167 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 99/100
60/60 [==============================] - 0s 4ms/step - loss: 6.1500 - dense_1_loss_1: 3.7521 - dense_1_loss_2: 1.2075 - dense_1_loss_3: 0.3397 - dense_1_loss_4: 0.1230 - dense_1_loss_5: 0.0664 - dense_1_loss_6: 0.0473 - dense_1_loss_7: 0.0376 - dense_1_loss_8: 0.0353 - dense_1_loss_9: 0.0324 - dense_1_loss_10: 0.0268 - dense_1_loss_11: 0.0258 - dense_1_loss_12: 0.0253 - dense_1_loss_13: 0.0232 - dense_1_loss_14: 0.0244 - dense_1_loss_15: 0.0267 - dense_1_loss_16: 0.0256 - dense_1_loss_17: 0.0237 - dense_1_loss_18: 0.0242 - dense_1_loss_19: 0.0245 - dense_1_loss_20: 0.0261 - dense_1_loss_21: 0.0253 - dense_1_loss_22: 0.0256 - dense_1_loss_23: 0.0229 - dense_1_loss_24: 0.0241 - dense_1_loss_25: 0.0260 - dense_1_loss_26: 0.0243 - dense_1_loss_27: 0.0287 - dense_1_loss_28: 0.0262 - dense_1_loss_29: 0.0294 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.6500 - dense_1_acc_3: 0.9167 - dense_1_acc_4: 0.9833 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
Epoch 100/100
60/60 [==============================] - 0s 3ms/step - loss: 6.1167 - dense_1_loss_1: 3.7496 - dense_1_loss_2: 1.1982 - dense_1_loss_3: 0.3344 - dense_1_loss_4: 0.1206 - dense_1_loss_5: 0.0652 - dense_1_loss_6: 0.0465 - dense_1_loss_7: 0.0368 - dense_1_loss_8: 0.0346 - dense_1_loss_9: 0.0318 - dense_1_loss_10: 0.0263 - dense_1_loss_11: 0.0253 - dense_1_loss_12: 0.0248 - dense_1_loss_13: 0.0227 - dense_1_loss_14: 0.0239 - dense_1_loss_15: 0.0262 - dense_1_loss_16: 0.0251 - dense_1_loss_17: 0.0233 - dense_1_loss_18: 0.0237 - dense_1_loss_19: 0.0240 - dense_1_loss_20: 0.0256 - dense_1_loss_21: 0.0248 - dense_1_loss_22: 0.0250 - dense_1_loss_23: 0.0224 - dense_1_loss_24: 0.0237 - dense_1_loss_25: 0.0255 - dense_1_loss_26: 0.0238 - dense_1_loss_27: 0.0282 - dense_1_loss_28: 0.0257 - dense_1_loss_29: 0.0288 - dense_1_loss_30: 0.0000e+00 - dense_1_acc_1: 0.1000 - dense_1_acc_2: 0.6500 - dense_1_acc_3: 0.9167 - dense_1_acc_4: 1.0000 - dense_1_acc_5: 1.0000 - dense_1_acc_6: 1.0000 - dense_1_acc_7: 1.0000 - dense_1_acc_8: 1.0000 - dense_1_acc_9: 1.0000 - dense_1_acc_10: 1.0000 - dense_1_acc_11: 1.0000 - dense_1_acc_12: 1.0000 - dense_1_acc_13: 1.0000 - dense_1_acc_14: 1.0000 - dense_1_acc_15: 1.0000 - dense_1_acc_16: 1.0000 - dense_1_acc_17: 1.0000 - dense_1_acc_18: 1.0000 - dense_1_acc_19: 1.0000 - dense_1_acc_20: 1.0000 - dense_1_acc_21: 1.0000 - dense_1_acc_22: 1.0000 - dense_1_acc_23: 1.0000 - dense_1_acc_24: 1.0000 - dense_1_acc_25: 1.0000 - dense_1_acc_26: 1.0000 - dense_1_acc_27: 1.0000 - dense_1_acc_28: 1.0000 - dense_1_acc_29: 1.0000 - dense_1_acc_30: 0.0000e+00
<keras.callbacks.History at 0x15de7c50>

3. 生成音乐(Generating music)

3.1 预测和采样(Predicting & Sampling)

在每个采样步骤中，我们将从LSTM的前一个状态输入激活a和单元状态c，向前传播一步，获得一个新的输出激活和单元状态。然后可以使用新的激活a来生成输出，就像以前一样使用densor来生成。

首先，我们将初始化x0以及LSTM激活，并将单元值a0和c0初始化为0。

Exercise: 实现下面的函数来采样一个序列的音乐值，以下是在生成 \(T_y\) 输出字符的for循环中需要实现的一些关键步骤:

Step 2.A: 使用 LSTM_Cell，输入上一步的 c 和 a，生成当前时间步的 c 和 a.

Step 2.B: 使用 densor (defined previously) 来计算 softmax，以获得当前步骤的输出 a.

Step 2.C: 将刚刚生成的输出，添加到 outputs 中.

Step 2.D: 样本x 到 "out" 的预测的 one-hot向量，你可以把它传递给下一个LSTM时间步，使用Lambda函数：Lambda.

x = Lambda(one_hot)(out)

提示：这行代码不是根据out的概率随机抽取一个值，而是使用argmax在每个步骤中选择最可能的一个值。

# GRADED FUNCTION: music_inference_model

def music_inference_model(LSTM_cell, densor, n_values = 78, n_a = 64, Ty = 100):
    """
    Uses the trained "LSTM_cell" and "densor" from model() to generate a sequence of values.
    
    Arguments:
    LSTM_cell -- the trained "LSTM_cell" from model(), Keras layer object
    densor -- the trained "densor" from model(), Keras layer object
    n_values -- integer, umber of unique values
    n_a -- number of units in the LSTM_cell
    Ty -- integer, number of time steps to generate
    
    Returns:
    inference_model -- Keras model instance
    """
    
    # Define the input of your model with a shape 
    x0 = Input(shape=(1, n_values))
    
    # Define s0, initial hidden state for the decoder LSTM
    a0 = Input(shape=(n_a,), name='a0')
    c0 = Input(shape=(n_a,), name='c0')
    a = a0
    c = c0
    x = x0

    ### START CODE HERE ###
    # Step 1: Create an empty list of "outputs" to later store your predicted values (≈1 line)
    outputs = []
    
    # Step 2: Loop over Ty and generate a value at every time step
    for t in range(Ty):
        
        # Step 2.A: 在LSTM中单步传播
        a, _, c = LSTM_cell(x, initial_state=[a, c])
        
        # 步骤2.B：使用densor()应用于LSTM_Cell的隐藏状态输出(softmax)
        out = densor(a)

        # Step 2.C: Append the prediction "out" to "outputs". out.shape = (None, 78) (≈1 line)
        outputs.append(out)
        
        # Step 2.D: 根据“out”选择下一个值，并将“x”设置为所选值的一个one-hot，
        # 该值将在下一步作为输入传递给LSTM_cell。我们已经提供了执行此操作所需的代码
        x = Lambda(one_hot)(out)
        
    # Step 3: Create model instance with the correct "inputs" and "outputs" (≈1 line)
    inference_model = Model([x0, a0, c0], outputs)
    
    ### END CODE HERE ###
    
    return inference_model

定义interence model：

inference_model = music_inference_model(LSTM_cell, densor, n_values = 78, n_a = 64, Ty = 50)

3.2 采样(sampling)

使用零向量，初始化 x 和 LSTM state变量 a 和 c.

x_initializer = np.zeros((1, 1, 78))
a_initializer = np.zeros((1, n_a))
c_initializer = np.zeros((1, n_a))

Exercise: 实现 predict_and_sample(). 它会接受很多的参数 [x_initializer, a_initializer, c_initializer]，为了预测该输入对应的输出，需要进行3个步骤:

用你的模型来预测给定输入集的输出，输出 pred 应该是长度为20的列表，其中每个元素都是一个维度为 (\(T_y\), n_values) 的numpy数组.
将 pred 转换成一个数字 \(T_y\) 索引数组，每个相对应的索引，都通过 pred 列表中的元素，用argmax 进行计算. Hint.
将索引转换成它们的一个one-hot向量. to_categorical.

# GRADED FUNCTION: predict_and_sample

def predict_and_sample(inference_model, x_initializer = x_initializer, a_initializer = a_initializer, 
                       c_initializer = c_initializer):
    """
    Predicts the next value of values using the inference model.
    
    Arguments:
    inference_model -- Keras model instance for inference time
    x_initializer -- numpy array of shape (1, 1, 78), one-hot vector initializing the values generation
    a_initializer -- numpy array of shape (1, n_a), initializing the hidden state of the LSTM_cell
    c_initializer -- numpy array of shape (1, n_a), initializing the cell state of the LSTM_cel
    
    Returns:
    results -- numpy-array of shape (Ty, 78), matrix of one-hot vectors representing the values generated
    indices -- numpy-array of shape (Ty, 1), matrix of indices representing the values generated
    """
    
    ### START CODE HERE ###
    # Step 1: Use your inference model to predict an output sequence given x_initializer, a_initializer and c_initializer.
    # 长度为50的列表，每个元素都是 (T_x, n_values)的numpy数组
    pred = inference_model.predict([x_initializer, a_initializer, c_initializer])
    print(len(pred), pred[0].shape)    # 感觉ng这里说错，感觉是 T_y长的list，每个list是一个(1,78)维的输出，可以看music_inference_modelmusic_inference_model这个函数
    # Step 2: Convert "pred" into an np.array() of indices with the maximum probabilities
    indices = np.argmax(pred, 2)            
    # Step 3: Convert indices to one-hot vectors, the shape of the results should be (1, )
    results = to_categorical(indices, num_classes=78)       
    ### END CODE HERE ###
    
    return results, indices

测试：

results, indices = predict_and_sample(inference_model, x_initializer, a_initializer, c_initializer)

# print(indices, indices.shape)
# print(results[17, :], results.shape)
print("np.argmax(results[12]) =", np.argmax(results[12]))
print("np.argmax(results[17]) =", np.argmax(results[17]))
print("list(indices[12:18]) =", list(indices[12:18]))

np.argmax(results[12]) = 46
np.argmax(results[17]) = 11
list(indices[12:18]) = [array([46], dtype=int64), array([11], dtype=int64), array([31], dtype=int64), array([26], dtype=int64), array([46], dtype=int64), array([11], dtype=int64)]

3.3 生成音乐(Generate music)

RNN生成一个值序列。

下面的代码通过首先调用predict_and_sample()函数来生成音乐，然后这些值被后期处理成音乐和弦(意味着可以同时演奏多个值或音符)。
大多数计算音乐算法使用一些后期处理，因为很难在没有这种后期处理的情况下生成听起来不错的音乐。
- 后期处理的工作包括清理生成的音频，确保相同的声音不会重复太多次，两个连续的音符在音高上的距离不会太远，等等。
- 有人可能会说，这些后期处理步骤中有很多都是很困难的; 另外，很多的音乐创作都集中在手工制作后期处理软件上，很多的输出质量取决于后期处理的质量，而不仅仅是RNN的质量。

运行下面的代码来生成音乐并将其记录到out_stream中：

out_stream = generate_music(inference_model)

Predicting new values for different set of chords.
Generated 51 sounds using the predicted values for the set of chords ("1") and after pruning
Generated 50 sounds using the predicted values for the set of chords ("2") and after pruning
Generated 51 sounds using the predicted values for the set of chords ("3") and after pruning
Generated 51 sounds using the predicted values for the set of chords ("4") and after pruning
Generated 50 sounds using the predicted values for the set of chords ("5") and after pruning
Your generated music is saved in output/my_music.midi

听一下你的音乐：

# IPython.display.Audio('./data/30s_trained_model.mp3')
# IPython.display.Audio('./output/my_music.mp3')

import pyaudio  # audio recording
import wave     # file saving
import pygame   # midi playback

# Begins playback of a MIDI file
def play_music(music_file):

    try:
        pygame.mixer.music.load(music_file)
        
    except pygame.error:
        print ("Couldn't play %s! (%s)" % (music_file, pygame.get_error()))
        return
        
    pygame.mixer.music.play()
    
play_music('./output/my_music.midi')

需要记住的是：

序列模型可用于生成音乐值，然后再处理成midi音乐。
类似的模型可以用来生成恐龙名字或生成音乐，主要的区别是给模型的输入是什么。
在Keras中，序列生成涉及定义具有共享权重的层，然后在不同的time-step \(1, \ldots, T_x\)中重复这些层。

posted @ 2020-06-26 23:20 douzujun 阅读(858) 评论(0) 编辑收藏举报

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