Deep Learning — Goodfellow, Bengio & Courville

Ian Goodfellow, Yoshua Bengio, Aaron Courville (MIT Press)

The standard graduate-level deep learning textbook: linear algebra and probability foundations, machine learning basics, feedforward networks, regularization, optimization, convolutional networks, sequence models, and generative models.

Referenced in Course 1 (Week 7 — backpropagation and optimization, Chapters 5–8; Week 12 — convolutional networks, Chapter 9) and Course 2 (Week 12 — receptive fields and training). Abbreviated GBC.

Chapters

Exercises added as I work through each chapter.