d2l-ai/d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

PythonTeXHTMLShellpythondata-sciencemachine-learningnatural-language-processingreinforcement-learningcomputer-visiondeep-learningmxnetbooknotebooktensorflowkeraspytorchkagglehyperparameter-optimizationrecommender-systemgaussian-processesjax
This is stars and forks stats for /d2l-ai/d2l-en repository. As of 07 Dec, 2023 this repository has 19347 stars and 3867 forks.

D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussions Book website | STAT 157 Course at UC Berkeley The best way to understand deep learning is learning by doing. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. Our goal...
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