随笔分类 -  深度学习

21 人脸识别
摘要：import tensorflow as tf from tensorflow.keras import Sequential from tensorflow.keras.models import Model from tensorflow.keras.layers import Conv2D, 阅读全文
posted @ 2023-10-08 17:02 王哲MGG_AI 阅读(59) 评论(0) 推荐(0)
20 风格转换
摘要：import os import tensorflow as tf # Load compressed models from tensorflow_hub os.environ['TFHUB_MODEL_LOAD_FORMAT'] = 'COMPRESSED' import IPython.dis 阅读全文
posted @ 2023-10-08 16:56 王哲MGG_AI 阅读(81) 评论(0) 推荐(0)
19 自动驾驶车辆探测
摘要：import numpy as np import tensorflow as tf # 需要安装pip install opencv-python==4.5.3.56 import cv2 from IPython.display import Image, display from tensor 阅读全文
posted @ 2023-10-08 16:11 王哲MGG_AI 阅读(60) 评论(0) 推荐(0)
18 残差网络
摘要：import numpy as np import tensorflow as tf from tensorflow.keras.layers import Input, Add, Dense, Activation, ZeroPadding2D, BatchNormalization, Flatt 阅读全文
posted @ 2023-10-08 15:00 王哲MGG_AI 阅读(61) 评论(0) 推荐(0)
16 使用TF构建卷积神经网络
摘要：import math import numpy as np import h5py import matplotlib.pyplot as plt import scipy from PIL import Image from scipy import ndimage import tensorf 阅读全文
posted @ 2023-10-07 14:56 王哲MGG_AI 阅读(54) 评论(0) 推荐(0)
15 构建CNN（二）
摘要：import numpy as np import h5py import matplotlib.pyplot as plt %matplotlib inline plt.rcParams['figure.figsize'] = (5.0, 4.0) plt.rcParams['image.inte 阅读全文
posted @ 2023-10-07 13:42 王哲MGG_AI 阅读(31) 评论(0) 推荐(0)
14 构建CNN（一）
摘要：import numpy as np import h5py import matplotlib.pyplot as plt %matplotlib inline plt.rcParams['figure.figsize'] = (5.0, 4.0) plt.rcParams['image.inte 阅读全文
posted @ 2023-10-07 11:19 王哲MGG_AI 阅读(29) 评论(0) 推荐(0)
梯度下降、Mini-Batch梯度下降、动量梯度下降、Adam
摘要：梯度下降、Mini-Batch梯度下降、动量梯度下降以及Adam都是用于训练机器学习模型的优化算法。 梯度下降 (Gradient Descent)： 梯度下降是一种优化算法，用于调整模型参数以最小化损失函数。 想象一下你站在山上，想要找到山底的最低点。你每一步都沿着最陡峭的下坡方向走，直到到达最低 阅读全文
posted @ 2023-10-07 09:10 王哲MGG_AI 阅读(71) 评论(0) 推荐(0)
10 对比不同的优化算法
摘要：import numpy as np import matplotlib.pyplot as plt import scipy.io import math import sklearn import sklearn.datasets from opt_utils import load_param 阅读全文
posted @ 2023-10-07 09:06 王哲MGG_AI 阅读(113) 评论(0) 推荐(0)
9 Adam
摘要：import numpy as np import matplotlib.pyplot as plt import scipy.io import math import sklearn import sklearn.datasets from opt_utils import load_param 阅读全文
posted @ 2023-10-07 08:46 王哲MGG_AI 阅读(16) 评论(0) 推荐(0)
8.动量梯度下降
摘要：import numpy as np import matplotlib.pyplot as plt import scipy.io import math import sklearn import sklearn.datasets from opt_utils import load_param 阅读全文
posted @ 2023-09-28 15:46 王哲MGG_AI 阅读(27) 评论(0) 推荐(0)
7.mini-batch梯度下降
摘要：import numpy as np import matplotlib.pyplot as plt import scipy.io import math import sklearn import sklearn.datasets from opt_utils import load_param 阅读全文
posted @ 2023-09-28 15:08 王哲MGG_AI 阅读(47) 评论(0) 推荐(0)
6.梯度检验
摘要：import numpy as npfrom testCases import *from gc_utils import sigmoid, relu, dictionary_to_vector, vector_to_dictionary, gradients_to_vector ######### 阅读全文
posted @ 2023-09-05 09:46 王哲MGG_AI 阅读(57) 评论(0) 推荐(0)
5.正则化
摘要：import numpy as npimport matplotlib.pyplot as pltfrom reg_utils import sigmoid, relu, plot_decision_boundary, initialize_parameters, load_2D_dataset, 阅读全文
posted @ 2023-09-04 16:31 王哲MGG_AI 阅读(43) 评论(0) 推荐(0)
4.初始化参数
摘要：# 加载系统工具库import numpy as npimport matplotlib.pyplot as pltimport sklearnimport sklearn.datasets # 加载自定义的工具库from init_utils import * # 设置好画图工具%matplotl 阅读全文
posted @ 2023-09-04 15:50 王哲MGG_AI 阅读(47) 评论(0) 推荐(0)
3.深度神经网络识别猫
摘要：import numpy as npimport h5pyimport matplotlib.pyplot as plt from testCases import *from dnn_utils import * %matplotlib inlineplt.rcParams['figure.fig 阅读全文
posted @ 2023-08-31 17:23 王哲MGG_AI 阅读(36) 评论(0) 推荐(0)
2.浅层神经网络
摘要：import numpy as npimport matplotlib.pyplot as plt import sklearn import sklearn.datasetsimport sklearn.linear_model from planar_utils import plot_deci 阅读全文
posted @ 2023-08-31 16:05 王哲MGG_AI 阅读(88) 评论(0) 推荐(0)
1.简单的识别猫的程序
摘要：import numpy as np import matplotlib.pyplot as plt import h5py import skimage.transform as tf %matplotlib inline ##################################### 阅读全文
posted @ 2023-08-30 11:04 王哲MGG_AI 阅读(76) 评论(0) 推荐(0)