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
1 maintainer
Metadata
1 maintainer
Release files for dhnn 0.1.12
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Source distribution (sdist)
| File | Size | Uploaded | |
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| dhnn-0.1.12.tar.gz | 3.7 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dhnn-0.1.12-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 7.9 kB
Release files / dhnn-0.1.12.tar.gz
| Download URL | dhnn-0.1.12.tar.gz |
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| Size | 3.7 kB |
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Release files / dhnn-0.1.12-py2.py3-none-any.whl
| Download URL | dhnn-0.1.12-py2.py3-none-any.whl |
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| Size | 4.2 kB |
| Tags | Python 2 Python 3 |
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