莫烦TensorFlow_01

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.initialize_all_variables()

### 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))