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mit-deep-learning-book-pdf

PDF versions of the Deep Learning textbook by Goodfellow, Bengio, and Courville.

CV

✅(Completed) Super comprehensive deep learning notes [Mound Pytorch] [Li Mu hands-on learning of deep learning] [Ng Enda deep learning] [Dafei Big Model Agent]

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Repository stars14,29424,191Highest
7-day net stars——
Fork2,911Highest2,667
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-02-032026-09-20
Maintenance notesUnknownNot verified
Repository created2017-04-072022-03-31
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LicenseLicense not declaredLicense not declared
License source——
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeBooks and papersBooks and papers · Retrieval-augmented generation
TypeGuides & collectionsGuides & collections
SubcategoryGetting startedBooks & reference material
PlatformNot verifiedNot verified
Cost detailsVerify software, hosting, model and infrastructure costs against the current official documentation.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-022026-11-03
MetricRepository Stars, not unique usersRepository stars, not unique users or individual-skill installs
LanguageJavaJupyter Notebook
About this projectPDF versions of the Deep Learning textbook by Goodfellow, Bengio, and Courville.✅(Completed) Super comprehensive deep learning notes [Mound Pytorch] [Li Mu hands-on learning of deep learning] [Ng Enda deep learning] [Dafei Big Model Agent]
Measured at2026-11-02 19:24 UTC2026-11-02 19:02 UTC

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