Building a Deep Learning Library from Scratch with NumPy
By
butanyways
Crusty in the right places. Worth the chew.
Summary
This article introduces a project to build a simple deep learning library from scratch using only NumPy, starting with a blank file and progressing through creating an autograd engine and layer modules, ultimately using it to train models on MNIST, simple CNN, and simple ResNet datasets. The content is educational in nature, focusing on hands-on learning through implementation rather than just using existing libraries.
Key quotes
· 4 pulledInstead of just learning how to use a deep learning library, we are going to learn how to create one.
We start with a blank file and NumPy, and we don't stop until we have a functional autograd engine and a collection of layer modules.
By the end, we will use it to train MNIST, simple CNN and simple ResNet.
This book is free to read online. If it helps you, consider paying what you want on Gumroad
Article URL: https://zekcrates.quarto.pub/deep-learning-library/
Comments URL: https://news.ycombinator.com/item?id=46454587
Points: 3
# Comments: 0
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