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Deep Learning

  • Dive into Deep Learning by Zhang, Lipton, Li, Smola (ongoing) — Hands-on deep learning with code and math together. PDF
  • Understanding Deep Learning by Simon J. D. Prince (2023) — Modern DL explained cleanly without hype. PDF
  • Deep Learning by Goodfellow, Bengio, Courville (2016) — The foundational DL textbook. Theory-heavy, still essential. Online
  • Neural Networks and Deep Learning by Michael Nielsen (2015) — Visual, intuitive intro to neural nets. Build understanding from scratch. Online
  • Reinforcement Learning: An Introduction by Sutton & Barto (2018) — The RL bible. Bandits to policy gradients to planning. PDF