Core readings

Emergence of Simple-cell Receptive Field Properties courses.cs.washington.edu · Sep 24 courses.cs.washington.edu · Sep 24

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Sparse coding / V1 inspiration paper (Olshausen & Field) — Lecture 1 background reading.

ACM Turing Award lectures (Hinton, LeCun, …) amturing.acm.org · Sep 24 amturing.acm.org · Sep 24

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Video lectures by Turing awardees — pair with the Nature article for a narrative arc.

History and Development of Neural Networks sciencedirect.com · Sep 24 sciencedirect.com · Sep 24

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Historical survey of neural nets — useful context before modern architecture papers.

An Overview from the Statistical Perspective arxiv.org · Sep 24 arxiv.org · Sep 24

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Course-listed statistical overview of deep learning — bridges ML practice and stats language.

Dive into Deep Learning (d2l.ai) d2l.ai · Sep 24 d2l.ai · Sep 24

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Interactive tutorials with code — excellent companion when you need implementations alongside theory.

Deep Learning — LeCun, Bengio & Hinton (Nature 2015) nature.com · Sep 24 nature.com · Sep 24

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The three Turing awardees’ Nature overview — best short intro to why deep learning worked.

Deep Learning Book (Goodfellow, Bengio, Courville) deeplearningbook.org · Sep 24 deeplearningbook.org · Sep 24

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Canonical textbook. Use as background reference; skim architecture & optimization chapters early.