Programmer's Guide

The documents in this unit dive into the details of writing TensorFlow code. This section begins with the following guides, each of which explain a particular aspect of TensorFlow:

The following guide is helpful when training a complex model over multiple days:

TensorFlow provides a debugger named tfdbg, which is documented in the following two guides:

A MetaGraph consists of both a computational graph and its associated metadata. A MetaGraph contains the information required to continue training, perform evaluation, or run inference on a previously trained graph. The following guide details MetaGraph objects:

To learn about the TensorFlow versioning scheme, consult the following two guides:

We conclude this section with a FAQ about TensorFlow programming: