/TensorFlow Guide

Get Started

If you are new to machine learning, we recommend taking the following online course prior to diving into TensorFlow documentation:

TensorFlow is a tool for machine learning. While it contains a wide range of functionality, TensorFlow is mainly designed for deep neural network models.

The easiest way to get started with TensorFlow is using Eager Execution.

TensorFlow provides many APIs. The remainder of this section focuses on the Estimator API which provide scalable, high-performance models. To get started with Estimators begin by reading one of the following documents:

Then, read the following documents, which demonstrate the key features in the high-level APIs:

  • Checkpoints, which explains how to save training progress and resume where you left off.
  • Feature Columns, which shows how an Estimator can handle a variety of input data types without changes to the model.
  • Datasets Quick Start, which introduces TensorFlow's input pipelines.
  • Creating Custom Estimators, which demonstrates how to build and train models you design yourself.

For more advanced users:

  • The Low Level Introduction demonstrates how to use TensorFlow outside of the Estimator framework, for debugging and experimentation.
  • The Programmer's Guide details major TensorFlow components.
  • The Tutorials provide walkthroughs of a variety of TensorFlow models.

© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.