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TensorFlow 1.x Deep Learning Cookbook
book

TensorFlow 1.x Deep Learning Cookbook

by Antonio Gulli, Dr. Amita Kapoor
December 2017
Intermediate to advanced
536 pages
14h 23m
English
Packt Publishing
Content preview from TensorFlow 1.x Deep Learning Cookbook

How to do it...

  1. Import tensorflow  this imports the TensorFlow library and allows you to use its wonderful features.
 import tensorflow as tf 
  1. Since the message we want to print is a constant string, we use tf.constant:
message = tf.constant('Welcome to the exciting world of Deep Neural Networks!')
  1. To execute the graph element, we need to define the Session using with and run the session using run:
with tf.Session() as sess:     print(sess.run(message).decode()) 
  1. The output contains a series of warning messages (W), depending on your computer system and OS, claiming that code could run faster if compiled for your specific machine:
The TensorFlow library wasn't compiled to use SSE instructions, but these are available on your machine and ...
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Publisher Resources

ISBN: 9781788293594