The target

This article is intended to introduce the introduction of TensorFlow and practical examples. We hope that you will become familiar with the operation of TensorFlow after learning it

Simple variable manipulation

Import tensorflow as tf x = tf.variable ([9,10]) y = tf.constant([4,4]) sub = tf.subtract(x, y) add = tf.add(x, subtract) Y) init = tf.global_variables_initializer() # init = tf.session () sess.run(init) print(sess.run([sub, add]))Copy the code

The output

[array([5, 6], dtype=int32), array([13, 14], dtype=int32)]
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Progressive – variable increment

import tensorflow as tf state = tf.Variable(0, name='state') add = tf.add(state, Update = tf.assign(state, Init = tf.global_variables_initializer() with tf.session () as sess: Sess.run (init) print(sess.run(state)) print(sess.run(state)) Sess.run (update) # print(sess.run(state)) # print(sess.run(state)) # print(sess.run(state)) # print(sess.run(state)Copy the code

The output

0
2
4
6   
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In this paper, the reference

Reference for this article: blog.csdn.net/qq_19672707…