Neural network from scratch
A small Python library, built to understand how neural networks work underneath.
- Built
- 05-2024
This learning-oriented Python library implements the core machinery needed to build and train neural networks while avoiding external dependencies except where numerical operations are necessary.
The point is understanding rather than abstraction: the repository exposes the underlying concepts and includes examples for composing a network with the library.
Related: Applied ML