Deep Learning
Resources
Articles
Deep Reinforcement Learning: Pong from Pixels - Andrej Karpathy
Books
A Little Bit of Reinforcement Learning from Human Feedback - Nathan Lambert
Deep Learning - Ian Goodfellow, Yoshua Bengio, Aaron Courville
Dive into Deep Learning - Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola
Neural Networks and Deep Learning - Michael Nielsen
Physics-based Deep Learning - Nils Thuerey, Philipp Holl, Maximilian Mueller, Patrick Schnell, Felix Trost, and Kiwon Um
Reinforcement Learning: An Introduction - Richard S. Sutton, Andrew G. Barto
The Little Book of Deep Learning - François Fleuret, University of Geneva
The Little Learner: A Straight Line to Deep Learning - Daniel P. Friedman, Anurag Mendhekar
Understanding Deep Learning - Simon J.D. Prince
Courses
CS231n: Deep Learning for Computer Vision - Stanford
Introduction to Reinforcement Learning - David Silver, DeepMind
Neural Networks: Zero to Hero - Andrej Karpathy
GitHub Repositories
Websites
YouTube Playlists
A friendly introduction to Recurrent Neural Networks - Luis Serrano
Neural Networks from Scratch in Python - sentdex
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