tensorflow 小例子

import tensorflow as tf
import numpy as np
x_data=np.random.rand(100).astype(np.float32)
y_data =x_data*0.1+0.3


#creat tensorflow 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()
#creat tensorflow end

#very important

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))