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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 it works...

The preceding code is divided into three main parts. There is the import block that contains all the libraries our code will use; in the present code, we use only TensorFlow. The import tensorflow as tf statement gives Python access to all TensorFlow's classes, methods, and symbols. The second block contains the graph definition part; here, we build our desired computational graph. In the present case, our graph consists of only one node, the tensor constant message consisting of byte string, "Welcome to the exciting world of Deep Neural Networks". The third component of our code is running the computational graph as Session; we created a Session using the with keyword. Finally , in the Session, we run the graph created above. ...

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Publisher Resources

ISBN: 9781788293594