This repo holds resources for the first edition of the book. It was published on Kindle and is no longer available.
The new book, updated and much improved, is available from No Starch Press.
It's called Deep Learning: A Visual Approach and is available in both physical and Ebook formats.
All of the figures and code for the new book are also available in a sibling Github repo. Just go up and level and you should find it!
These notebooks are only lightly documented.
Because of their role as learning materials, all of the code in these notebooks was written to emphasize clarity over all other stylistic concerns. This means that much of it can be shortened, and probably made faster as well. Feel free to dig in, optimize, convert to other languages, or otherwise play with the code.
All the notebooks are released under the MIT license. Informally, you're free to do pretty much anything with the code, including using it in your own projects, or even including it in commercial projects, as long as you keep my copyright along with the code. While I strove for accuracy and correctness, there is no warranty that the code is bug-free or fit for any purpose.
Some notebooks work with images. The images I used in the book are included with the notebooks. See the section below on Figures for details on their licensing, and see the book for the URL where each image may be found. All images without an explicit citation in the book are by the author, and are released under the MIT license.
Most of roughly 1000 figures are saved in PNG format at high resolution (300 dpi or better), so they are appropriate for presentations and talks even when projected to large size.
All of these figures are released under the MIT license, like the code. This means you're free to use them any way you like, as long as you keep the copyright associated with them somehow. Use them for your classes, reports, papers, presentations, whatever you like!
You're not required to attribute me or the book if you use these images, but I'd appreciate it if you would.
Some figures include photographs. Many of these are by the author. All other photos are from Wikiart, Wikimedia, or Pixabay. The book provides a citation and URL to the source of each of these images. The first two sites state that their images are in the public domain. All images selected from Pixabay are labeled as released under the Creative Commons CC0 license, and explicitly state, "Free for commercial use. No attribution required."
To help you better sort through and choose figures, thumbnails for all the figures are available.