March 2018
Intermediate to advanced
164 pages
3h 39m
English
When thinking of execution of a TensorFlow program we should be familiar with a graph creation and a session execution. Basically the first one is for building the model and the second one is for feeding the data in and getting the results. An interesting thing is that TensorFlow does each and everything on the C++ engine, which means even a little multiplication or addition is not executed on Python but Python is just a wrapper. Fundamentally, TensorFlow C++ engine consists of following two things:
When we/you're performing a little complex operation with TensorFlow, for example training ...