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https://www.deeplearningbook.org/ https://www.deeplearningbook.org/ , PDF version: https://github.com/janishar/mit-deep-learning-book-pdf https://github.com/jan
by lhl 3y ago
https://www.deeplearningbook.org/ https://www.deeplearningbook.org/ , PDF version: https://github.com/janishar/mit-deep-learning-book-pdf https://github.com/janishar/mit-deep-learning-book-pdf
- ahmedfromtunis 3y agoThank you so much!
- belter 3y agoI think this one is a bit out of date....
- CamperBob2 3y agoIt looks like it covers the basics pretty well. Any pointers to alternatives?
- eginhard 3y agoThe "Understanding Deep Learning" book covers more recent models as well: https://udlbook.github.io/udlbook/ https://udlbook.github.io/udlbook/ (free PDF and Jupyter notebooks available)
- barrenko 3y agoIMVHO, GANs are entirely optional. For others, https://web.stanford.edu/~jurafsky/slp3/ https://web.stanford.edu/~jurafsky/slp3/ will take you a decent way to understanding transformer architecture.
- philsnow 3y agoAn earlier edition of this book was the textbook for a computational linguistics course I took back in ~2002 (!), it's amazing how much has been added
- lhl 3y agoFor specifically understanding transformers, this (w/ maybe GPT-4 by your side to unpack jargon/math) might be able to get you from lay-person to understanding enough to be dangerous pretty quickly: https://sebastianraschka.com/blog/2023/llm-reading-list.html https://sebastianraschka.com/blog/2023/llm-reading-list.html