udlbook
Download draft PDF Chapters 1-21 here Instructor answer booklet available with proof of credentials via MIT Press. Request an exam/desk copy via MIT Press. Figures in PDF (vector) / SVG (vector) / Powerpoint (images): Answers to selected questions: PDF Python notebooks: (Early ones more thoroughly tested than later ones!)
RECENT NEWS: 03/26/26 03/26/26 12/17/24 Video lectures for chapters 1-12 from Tamer Elsayed of Qatar University. 12/05/24 New blog on Neural network Gaussian processes 11/14/24 New blog on Bayesian Neural Networks CITATION: @book{prince2023understanding, author = "Simon J.D. Prince", title = "Understanding Deep Learning", publisher = "The MIT Press", year = 2023, url = "http://udlbook.com" } Coding exercises Python notebooks covering the whole text Sixty eight python notebook exercises with missing code to fill in based on the text Notebook 1.1 - Background mathematics:…
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