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 word2vec
- A less basic version of word2vec
- Using convolutional NNs for text classification, and TensorBoard
- Using convolutional NNs for text classification, part II: using learned word embeddings
- The TensorFlow distributed runtime on Kubernetes
Thanks to Denny Britz for this code: https://github.com/dennybritz/cnn-text-classification-tf, which we adapted for some of the workshop sections.
Thanks also to reddit, for allowing us to use some post data for a training corpus.