TensorFlow, deep learning and recurrent neural networks

The excellent folks of GDGSeattle and Seattle-DAML put on a couple of workshops on deep learning and Google’s TensorFlow package featuring talks and codelabs by Martin Görner.

The materials from these sessions are great resources.

Slides

Intro slides by Margaret Maynard-Reid:

Parts 1-5 of TensorFlow and Deep Learning without a PhD:

Codelab

Video

Martin’s talks seems to exist in multiple versions on YouTube.

Papers

Hallucinated Shakespeare

Martin has a handful of tutorials on GitHub including the amazing RNN-Shakespeare.

TensorFlow Shakespeare

Hallucinated Python

Applied to the Python code of TensorFlow itself, after 0.4 epochs of training it looks like this:

TensorFlow Python 0.4 epochs

…and after 12 epochs of training? Looks good to me. Ship it!

TensorFlow Python 12 epochs