pp的博客

实例28：用线性单分逻辑回归分析肿瘤是良性还是恶性的： from sklearn.utils import shuffle### def generate(sample_size, mean, cov, diff, regression): num_classes = 2 samples_per_class = int(sample_size/2) X0 = np.random.multivariate_normal(mean, cov, samples_per_cla...

import tensorflow.compat.v1 as tf tf.disable_v2_behavior() #注意tf2版本都需这个引用tf1的api import numpy as np import matplotlib.pyplot as plt plotdata = { "batchsize":[], "loss":[] } def moving_average(a, w=...

第五章 #退化学习率 import tensorflow.compat.v1 as tf### tf.disable_v2_behavior()###tf1 api global_step = tf.Variable(0, trainable=False) initial_learning_rate = 0.1 learning_rate = tf.train.exponential_de...

在cmd执行如下语句