tensorflow 例子

参考：

1. https://morvanzhou.github.io/tutorials/machine-learning/tensorflow/2-4-variable/

2. 加载模型的几种方法

https://blog.csdn.net/u011026329/article/details/79190347

3. https://blog.csdn.net/CV_YOU/article/details/80698942

1. 创建数据

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

2. 搭建模型，给出预测的值，Weight,biases

Weight = tf.Variable(tf.random_uniform([1],-1.0,1.0))
biases = tf.Variable(tf.zeros[1])
y = Weight * x_data + biases

3. 计算误差

loss = tf.reduce_mean(tf.square(y-y_data))

4. 传播误差

optimizer = tf.train.GradientDescentOptimizer(0.5)
train = optimizer.minimize(loss)

5. 初始化

init = tf.global_variables_initializer()

6. Session

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

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