Author: Oualid Missaoui

Scope: Studying the textbook https://d2l.ai/index.html

In this repos I study the Dive into Deep Learning textbook using PyTorch.

I particularly attempt to clarify ambiguous mathematical derivations, answer the questions to the best of my ability, and restructure the code into a package to enhance readeability and facilitate potential extensions.

Added derivations and some exercises solutions are added in the chapters notebooks on a copy of the original notebooks under

https://github.com/omroot/d2l_pytorch/tree/main/mylearnings/mychapters

The underlying pytorch code used by the textbook is being re-structured under

https://github.com/omroot/d2l_pytorch/tree/main/mylearnings/myd2l/omd2l

Each chapter experiments are consolidated under one single (for now) notebook

https://github.com/omroot/d2l_pytorch/tree/main/mylearnings/myd2l/notebooks/refactored

that uses the refactored code under

https://github.com/omroot/d2l_pytorch/tree/main/mylearnings/myd2l/omd2l

In addition, I add lecture notes to clarify some concepts I thought were not detailed enough especially mathematical derivations:

https://github.com/omroot/d2l_pytorch/tree/main/mylearnings/mylecturenotes