A hand-curated collections of activations functions for deep learning research.
Project description
Non-Linear
A hand-curated collections of activations functions for deep learning research.
Citation
@misc{kunc2025activation,
title={Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks},
author={Kunc, Vladimír and Kléma, Jiří},
year={2024},
publisher={arXiv},
url={https://arxiv.org/abs/2402.09092}
}
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nonlinear-0.0.16.tar.gz
(30.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file nonlinear-0.0.16.tar.gz.
File metadata
- Download URL: nonlinear-0.0.16.tar.gz
- Upload date:
- Size: 30.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3dab63e11962ac842538a0f25a7de23b5b1b6b7175dc119c34a4636d3e1bead9
|
|
| MD5 |
9568dfa95972504e321303ab128b4221
|
|
| BLAKE2b-256 |
8d9994a43d401966780599b2e22ba0ee17fc80abb23875cc829a3c425f1193b6
|
File details
Details for the file nonlinear-0.0.16-py3-none-any.whl.
File metadata
- Download URL: nonlinear-0.0.16-py3-none-any.whl
- Upload date:
- Size: 62.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
779f0997c46f41f33b2dc49b21ed4316be1acf5c0f4f28d7e1ab13a34aefdf14
|
|
| MD5 |
51dc903bd8c08c78e98b022e965b1a00
|
|
| BLAKE2b-256 |
a104ce99b8aeb2a998d08b6b0a3f709f90cb7973699c48c9c370eac0fead73b8
|
