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
Prerequisites
Prior to running this package, please install the following libraries.
numpynumba
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
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