Understanding Deep Learning udlbook.github.io ↗
A deep learning textbook by Simon Prince with theory and programming exercises.
BookLearning & booksdeep-learningexercises
Captured
Recommended in 1 thread
The Little Book of Generative AI Foundations: An Intuitive Mathematical Primerarxiv.org ·
Has lots of exercises, including many programming ones.
Similar tools
- Deep Learning: Foundations and Concepts ↗Learning & books1 thread
A deep learning textbook by Christopher Bishop and Hugh Bishop.
- The Little Book of Deep Learning ↗Learning & books1 thread
A compact free book by François Fleuret covering deep learning foundations.
- 1 thread
- Professional Linux Kernel Architecture ↗Learning & books1 thread
A book by Wolfgang Mauerer describing Linux kernel internals.
- Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins ↗Learning & books1 thread
A book by Garry Kasparov on his matches against computers and on human-machine collaboration.
- Why Machines Learn ↗Learning & books1 thread
A book by Anil Ananthaswamy explaining the math behind modern AI.
- What Every Programmer Should Know About Memory ↗Learning & books1 thread
Ulrich Drepper's paper on memory hierarchy and caches for programmers.
- Cracking Codes with Python ↗Learning & books1 thread
Al Sweigart's book teaching programming by implementing and breaking ciphers.
Also in Learning & books
- Careless People ↗3 threads
A memoir by former Facebook executive Sarah Wynn-Williams about the company's leadership.
- 3 threads
- 3 threads
- Wikipedia3 threads
A free collaborative online encyclopedia.
- 2 threads
- 2 threads
- Diátaxis ↗2 threads
A framework for organising technical documentation into tutorials, how-tos, reference and explanation.
- 2 threads
- 2 threads
- How Complex Systems Fail ↗2 threads
A short essay by Richard Cook on the nature of failure in complex systems.
- 2 threads
- 2 threads
Link from a commenter, not checked or endorsed by us: ↗ https://udlbook.github.io/udlbook/



















