TensorFlow workshop materials

This repo contains materials for use in a TensorFlow workshop.
The accompanying slides are
here.

Contributions are not currently accepted. This is not an official Google product.

This document points to more information for each step in the workshop.

• Installation
• Building a small starter TensorFlow graph
• Introducing MNIST, and building a simple linear classifier in TensorFlow.
• Using TensorFlow's high-level APIs to build an MNIST DNN Classifier, and introducing TensorBoard.
• Using TensorFlow's "low-level" APIs to build an MNIST DNN Classifier. Saving and loading model checkpoints, and generating TensorBoard summaries.
• Building a word2vec model using a Custom Estimator, and exploring the learned embeddings. Introducing TFRecords.