Dive into Deep Learning
An open-source deep learning textbook led by a team of Amazon scientists, adopted by hundreds of universities worldwide.
Timeline (last 90 days)
The CV chapters of Li Mu's team's "Dive into Deep Learning" (D2L) are of high quality, with code implemented based on PyTorch that can be run line by line, and it is continuously updated, with ViT-related chapters already added.
Dive into Deep Learning (D2L) is free and open-source, with each concept accompanied by runnable code implementations, and provides versions for multiple frameworks including PyTorch and TensorFlow.
All Facts (2)
The CV chapters of Li Mu's team's "Dive into Deep Learning" (D2L) are of high quality, with code implemented based on PyTorch that can be run line by line, and it is continuously updated, with ViT-related chapters already added.
50%UnverifiedDive into Deep Learning (D2L) is free and open-source, with each concept accompanied by runnable code implementations, and provides versions for multiple frameworks including PyTorch and TensorFlow.
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