一个处女座的程序猿

摘要： load spectra_data.mat temp = randperm(size(NIR,1)); P_train = NIR(temp(1:50),:)'; T_train = octane(temp(1:50),:)'; P_test = NIR(temp(51:end),:)'; T_test = octane(temp(51:end),:)'; N = size(P_te... 阅读全文

摘要： load spectra_data.mat plot(NIR') title('Near infrared spectrum curve—Jason niu') temp = randperm(size(NIR,1)); P_train = NIR(temp(1:50),:)'; T_train = octane(temp(1:50),:)'; P_test = NIR(temp(5... 阅读全文

摘要： # 23 Batch Normalization import numpy as np import tensorflow as tf import matplotlib.pyplot as plt ACTIVATION = tf.nn.tanh N_LAYERS = 7 N_HIDDEN_UNITS = 30 def fix_seed(seed=1):... 阅读全文

摘要： import numpy as np import matplotlib.pyplot as plt def fix_seed(seed=1): #重复观看一样东西 # reproducible np.random.seed(seed) # make up data建立数据 fix_seed(1) x_data = np.linspace(-7, 10, 2500)[:... 阅读全文

摘要： import tensorflow as tf # 22 scope (name_scope/variable_scope) from __future__ import print_function class TrainConfig: batch_size = 20 time_steps = 20 input_size = 10 output_size =... 阅读全文

摘要： # tensorflow中的两种定义scope(命名变量)的方式tf.get_variable和tf.Variable。Tensorflow当中有两种途径生成变量 variable import tensorflow as tf #T1法 tf.name_scope() with tf.name_scope("a_name_scope"): initializer = tf.c... 阅读全文

摘要： import tensorflow as tf import numpy as np import matplotlib.pyplot as plt #Import MNIST data from tensorflow.examples.tutorials.mnist import input_data mnist=input_data.read_data_sets("/niu/mnist_d... 阅读全文

摘要： import tensorflow as tf import numpy as np import matplotlib.pyplot as plt #Import MNIST data from tensorflow.examples.tutorials.mnist import input_data mnist=input_data.read_data_sets("/niu/mnist_d... 阅读全文

摘要： import tensorflow as tf import numpy as np import matplotlib.pyplot as plt BATCH_START = 0 TIME_STEPS = 20 BATCH_SIZE = 50 INPUT_SIZE = 1 OUTPUT_SIZE = 1 CELL_SIZE = 10 LR... 阅读全文

摘要： import tensorflow as tf import numpy as np import matplotlib.pyplot as plt BATCH_START = 0 TIME_STEPS = 20 BATCH_SIZE = 50 INPUT_SIZE = 1 OUTPUT_SIZE 阅读全文