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Deep Learning cover

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.'

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  • 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.

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