A Discrete Hopfield Neural Network Framework in python.
Project description
DHNN
A Discrete Hopfield Neural Network Framework in python.
Introduction
DHNN is a minimalistic and Numpy based implementation of the Discrete Hopfield Network. DHNN can learn (memorize) patterns and remember (recover) the patterns when the network feeds those with noises.
Installation
Just use pip:
pip install dhnn
Or download dhnn to a directory which your choice and use setup to install script:
>>> git clone https://github.com/Zeroto521/DHNN.git
>>> python setup.py install
Authors
 |
 |
|---|---|
| yosukekatada | Zeroto521 |
TODO
- more flag, add 0/1 flag or other flag.
- optimize loop, try numba, Cpython or any other ways.
- optimize memory.
License
MIT License. @yosukekatada, @Zeroto521
References
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
dhnn-0.1.12.tar.gz
(3.7 kB
view details)
Built Distribution
File details
Details for the file dhnn-0.1.12.tar.gz.
File metadata
- Download URL: dhnn-0.1.12.tar.gz
- Upload date:
- Size: 3.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6fedf9e4951b8f034ca46cd21f376b58e2f6c4fd10aecc04f6805fadcd040c6f |
|
| MD5 | 3ce4317f1f31bc9e5c677a21c01ba0b5 |
|
| BLAKE2b-256 | 6a87edd2385085e8dea73d3066dd5de08c2a3bc67adf23aa869e4d134a4013ce |
File details
Details for the file dhnn-0.1.12-py2.py3-none-any.whl.
File metadata
- Download URL: dhnn-0.1.12-py2.py3-none-any.whl
- Upload date:
- Size: 4.2 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | fb532f147fd9e7e715612caef814b1616466af8d500fe84787524a80a1fc5d23 |
|
| MD5 | c39fd3c75b3979a98f254037236ac17f |
|
| BLAKE2b-256 | 89c51ce60f01f851842c536c5e5c709602db6cb9e11a2178e8e9490d3f76f60e |
