Small library for computing gradients of functions that are commonly used in Machine Learning and Deep Learning.
Project description
Numeric Gradients
Small library for computing gradients of functions that are commonly used in Machine Learning and Deep Learning.
Acknowledgements
This library is originated from micrograd implementation and extended to support more functions.
Installation
pip install numeric-grad
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
numeric_grad-0.0.4.tar.gz
(3.6 kB
view details)
Built Distribution
File details
Details for the file numeric_grad-0.0.4.tar.gz.
File metadata
- Download URL: numeric_grad-0.0.4.tar.gz
- Upload date:
- Size: 3.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e0e8b9d4c343698f7c81d8ac7bbdcaf3d5c7accc3ad55dac39fa352d2006074c |
|
| MD5 | 23d11953d19f6a39c4bc7bbf0d765f07 |
|
| BLAKE2b-256 | f36b6dc5d8015ba8a30e74b5196a647e77be695c05e83389f8918aac2b49660b |
File details
Details for the file numeric_grad-0.0.4-py3-none-any.whl.
File metadata
- Download URL: numeric_grad-0.0.4-py3-none-any.whl
- Upload date:
- Size: 3.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c26766deddf2cc3f712496b84c95d711dd2735fa2b3542737b6083a5ef47b7a8 |
|
| MD5 | 02822783d08943e54f52c04e3f8f0364 |
|
| BLAKE2b-256 | c1a0edcdb1eacf970d2476d9ec5a61915f906e63732c55c4c374f990f4a10f21 |
