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.
An open textbook used in 500+ universities: every concept comes with maths, runnable code and exercises, available for PyTorch, TensorFlow, JAX and MXNet.
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Free · no card · unsubscribe anytimeInteractive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
d2l-en has 29.2k stars on GitHub. It has been forked 5.1k times. d2l-en is written mainly in Python. It has been in active development since 2018. Its main topics are book, computer-vision, data-science, deep-learning.
Read the full guideWhat is 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.
Is d2l-en open source?
d2l-en is an open-source project.
Is d2l-en free?
Yes. d2l-en is free and open source — you can use, modify and self-host it.
What language is d2l-en written in?
d2l-en is written mainly in Python.
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