Deep Learning

My favorite aspect of this book is that it provides a graphical models interpretation of DL methods, which is the most powerful perspective we have right now to reason about model design (instead of some large black box function that we train end-to-end without knowing what's in between).

on HN, 2016

If you understand the models here, you should be able to understand the design choices made in more complex architectures.

on HN, 2016

It's a language you need to learn, especially if you want to try and get to the bottom of how and why aspects of deep learning work the way they do.

on HN, 2016

"Deep Learning" - by Goodfellow and Bengio. Just started, but really liking it.

on HN, 2016

Part of the problem in writing a deep learning book, is that very little that warrants being in a book, is actually known.

on HN, 2016