TF：利用TF的train.Saver将训练好的W、b模型文件保存+新建载入刚训练好模型(用于以后预测新的数据)

输出结果

代码设计

import tensorflow as tf

import numpy as np

W = tf.Variable([[2,1,8],[1,2,5]], dtype=tf.float32, name='weights')

b = tf.Variable([[1,2,5]], dtype=tf.float32, name='biases')

init= tf.global_variables_initializer()  

saver = tf.train.Saver()    

with tf.Session() as sess:  

   sess.run(init)

   save_path = saver.save(sess, "niu/save_net.ckpt")

   print("Save to path: ", save_path)

#TF：利用TF的train.Saver载入曾经训练好的variables(W、b)以供预测新的数据

import tensorflow as tf

import numpy as np

W = tf.Variable(np.arange(6).reshape((2, 3)), dtype=tf.float32, name="weights")

b = tf.Variable(np.arange(3).reshape((1, 3)), dtype=tf.float32, name="biases")

saver = tf.train.Saver()

with tf.Session() as sess:

   saver.restore(sess, "niu/save_net.ckpt")

   print("weights:", sess.run(W))

   print("biases:", sess.run(b))