ocean11的博客

import tensorflow as tf # 常量乘 a = tf.constant([[2,3]]) b = tf.constant([[1],[2]]) mul = tf.matmul(a,b) with tf.Session() as sess: print("tf mul :" ,sess.run(mul)) print("* " ,sess.run(a*b) ) ...

非线性回归 import tensorflow as tf import numpy as np 生成饱含随机噪音的数据 #生成饱含随机噪音的数据 x_data = np.linspace(-1.0, 1.0, 200) noise = np.random.normal(0, 0.02, 200) y_data = x_data ** 2 + noise print(x_data[0:10]...

import tensorflow as tf import tensorflow.examples.tutorials.mnist as mnist #导入数据 data = mnist.input_data.read_data_sets("MNIST_data", one_hot=True) batch_size = 100 n_batch = data.train.num_examples...

# coding: utf-8 # In[3]: import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data #载入数据集 mnist = input_data.read_data_sets("MNIST_data",one_hot=True) #每个批次的大小 batch_size...