August 2017
Intermediate to advanced
288 pages
8h 6m
English
Content preview from R Deep Learning Cookbook
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
Start your free trial
How it works...
TensorFlow follows directed graph philosophy to set up computational models where mathematical operations are represented as nodes with each node supporting multiple input and output while the edges represent the communication of data between nodes. There are also edges known as control dependencies in TensorFlow that do not represent the data flow; rather the provide information related to control dependence such as node for the control dependence must finish processing before the destination node of control dependence starts executing.
An example TensorFlow graph for logistic regression scoring is shown in the following diagram:
TensorFlow graph for logistic regression
The preceding figure illustrates the TensorFlow graph ...