Metadata-Version: 2.1
Name: dhnn
Version: 0.1.10
Summary: A Discrete Hopfield Neural Network Framework in python.
Home-page: https://github.com/Zeroto521/dhnn
Author: yosukekatada,Zeroto521
Author-email: Zeroto521@gmail.com
Maintainer: Zero
Maintainer-email: Zeroto521@gmail.com
License: MIT
Download-URL: https://github.com/Zeroto521/dhnn/archive/master.zip
Description: # DHNN
        
        A **D**iscrete **H**opfield **N**eural **N**etwork Framework in python.
        
        [![Build Status](https://travis-ci.com/Zeroto521/DHNN.svg?branch=master)](https://travis-ci.com/Zeroto521/DHNN) [![](https://img.shields.io/pypi/v/dhnn.svg)](https://pypi.org/project/dhnn/)
        
        ## Introduction
        
        DHNN is a minimalistic and Numpy based implementation of the [Discrete Hopfield Network](http://en.wikipedia.org/wiki/Hopfield_network). DHNN can learn (memorize) patterns and remember (recover) the patterns when the network feeds those with noises.
        
        ## Installation
        
        Just use pip:
        
        ```bash
        pip install dhnn
        ```
        
        Or download `dhnn` to a directory which your choice and use `setup` to install script:
        
        ```bash
        >>> git clone https://github.com/Zeroto521/DHNN.git
        >>> python setup.py install
        ```
        
        ## Prerequisites
        
        Prior to running this package, please install the following libraries.
        
        -   `numpy`
        -   `numba`
        
        ## Authors
        
        | <img src="https://avatars3.githubusercontent.com/u/4463558?v=4" alt="yosukekatada" width="100px" height="100px"/> | <img src="https://avatars1.githubusercontent.com/u/25895405?v=4" alt="Zeroto521" width="100px" height="100px"/> |
        | :---------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------: |
        |                                  [yosukekatada](https://github.com/yosukekatada)                                  |                                    [Zeroto521](https://github.com/Zeroto521)                                    |
        
        ## TODO
        
        -   [x] more flag, add 0/1 flag or other flag.
        -   [x] optimize loop, try numba, Cpython or any other ways.
        -   [ ] optimize memory.
        
        ## License
        
        MIT License. [@yosukekatada](https://github.com/yosukekatada), [@Zeroto521](https://github.com/Zeroto521)
        
        ## References
        
        -   http://rishida.hatenablog.com/entry/2014/03/03/174331
        
Platform: Windows
Platform: MacOS
Platform: Unix
Requires: numpy
Requires: numba
Description-Content-Type: text/markdown
