Educational Deep Learning from scratch

Machine Learning is an important application of DS.

Trying to learn it better, I came across **PyTorch** and it’s **Autograd Engine**, which computes the backpropagation automatically.

In [this project](https://github.com/eduardoleao052/Autograd-from-scratch.git), I tried to **reimplement most of PyTorch** (including the Autograd) from scratch in a **well-documented, unit tested, and interpretable** way. This is my first package, so feel free to use it, and to give feedback if possible!

I hope it can help others understand Autograd better as well.

GitHub repository [here](https://github.com/eduardoleao052/Autograd-from-scratch.git)!

application autograd backpropagation datascience deep learning educational learn machine machine learning pytorch