December 2017
Intermediate to advanced
536 pages
14h 23m
English
Content preview from TensorFlow 1.x Deep Learning Cookbook
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Understanding the TensorFlow program structure
TensorFlow is very unlike other programming languages. We first need to build a blueprint of whatever neural network we want to create. This is accomplished by dividing the program into two separate parts, namely, definition of the computational graph and its execution. At first, this might appear cumbersome to the conventional programmer, but it is this separation of the execution graph from the graph definition that gives TensorFlow its strength, that is, the ability to work on multiple platforms and parallel execution.
Computational graph: A computational graph is a network of nodes and edges. In this section, all the data to be used, in other words, tensor Objects (constants, variables, and ...
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