Huge content in a short post. I just released my TensorFlow white paper notes on GitHub. It’s been a much larger project than I originally thought, but I hope that it will be useful to people. The notes go from the very beginning of the paper all the way through conclusions, highlighting the important information from each section.
Here are the top features of the notes:
- Notes broken down and organized section by section, as well as subsection by subsection
- Relevant links to documentation, resources, and references throughout
- SVG versions of figures/graphs from the paper
If you haven’t checked out the TensorFlow white paper yet, I highly recommend it. There’s no replacement for reading the original, but I hope these notes are a worthy supplement alongside the actual paper.