莫烦TensorFlow_01 基本程序结构

import tensorflow as tf
import numpy as np  

# create data
x_data = np.random.rand(100).astype(np.float32)
y_data = x_data*0.1 + 0.3  

### create tensorflow structure start ###
Weights = tf.Variable(tf.random_uniform([1], -1.0, 1.0))
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.global_variables_initializer()  

### create tensorflow structure end ###  

sess = tf.Session()
sess.run(init)       

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