MoFan.代码

import tensorflow as tf
import numpy as np


# 创建数据
x_data = np.random.rand(100).astype(np.float32)
y_data = x_data * 0.1 + 0.3

# 创建 tensorflow结构体（开始）
weights = tf.Variable(tf.random_uniform([1], -0.1, 0.1))
biases = tf.Variable(tf.zeros([1]))

y = weights * x_data + biases

loss = tf.reduce_mean( tf.square(y-y_data) )
optimizer = tf.train.GradientDescentOptimizer( 0.5 )
train = optimizer.minimize( loss )

init = tf.initialize_all_variables()
# 创建 tensorflow结构体（结束）


sess = tf.Session()
sess.run(init)  # 非常重要

for step in range(201):
    sess.run( train )
    if step % 20 == 0:
        print(step, sess.run(weights), sess.run(biases))