BOOK · [142]
Deep Learning
Ian Goodfellow, Yoshua Bengio, Aaron Courville
Machine Learning / Textbook
The field's definitive graduate textbook: probability theory, optimization, feedforward networks, CNNs, RNNs, generative models, and the mathematical scaffolding of modern AI. Karpathy worked through it cover-to-cover and called it a resource that filled a crucial gap 'from my PhD era when few deep learning resources existed.'
Endorsed By
1 PERSON-
Andrej Karpathy
ML / intelligence stack — the mathematical foundations of modern AI; Karpathy's field-defining textbook reference and the technical capstone of his 'tech stacks' reading list.