# nboulle/rationalnets

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/nboulle-rationalnets).**

_How this analysis was created: the description and tags below were written by an AI model that read this project's README and public documentation pages; stars, license and language come straight from the GitHub API. The model does not read the source code._

30 stars · 5 forks · Python · MIT

## Links

- GitHub: https://github.com/NBoulle/RationalNets
- awesome-repositories: https://awesome-repositories.com/repository/nboulle-rationalnets.md

## Description

We consider neural networks with rational activation functions. The choice of the nonlinear activation function in deep learning architectures is crucial and heavily impacts the performance of a neural network. We establish optimal bounds in terms of network complexity and prove that rational…

## Tags

### Part of an Awesome List

- [3D Shape Analysis](https://awesome-repositories.com/f/awesome-lists/ai/3d-shape-analysis.md) — Rational neural network layers for improved function approximation.
