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"License :: OSI Approved :: MIT License",
"Natural Language :: Chinese (Simplified)",
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"Programming Language :: Python :: 3.4",
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"description": "# DHNN\n\nA **D**iscrete **H**opfield **N**eural **N**etwork Framework in python.\n\n[](https://travis-ci.com/Zeroto521/DHNN) [](https://codecov.io/gh/Zeroto521/dhnn) [](https://pypi.org/project/dhnn/) [](https://pypi.org/project/dhnn/)\n\n## Introduction\n\nDHNN 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.\n\n## Installation\n\nJust use pip:\n\n```bash\npip install dhnn\n```\n\nOr download `dhnn` to a directory which your choice and use `setup` to install script:\n\n```bash\n>>> git clone https://github.com/Zeroto521/DHNN.git\n>>> python setup.py install\n```\n\n## Authors\n\n| ![\"yosukekatada\"](\"https://avatars3.githubusercontent.com/u/4463558?v=4\")
| ![\"Zeroto521\"](\"https://avatars1.githubusercontent.com/u/25895405?v=4\")
|\n| :---------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------: |\n| [yosukekatada](https://github.com/yosukekatada) | [Zeroto521](https://github.com/Zeroto521) |\n\n## TODO\n\n- [x] more flag, add 0/1 flag or other flag.\n- [ ] optimize loop, try numba, Cpython or any other ways.\n- [ ] optimize memory.\n\n## License\n\nMIT License. [@yosukekatada](https://github.com/yosukekatada), [@Zeroto521](https://github.com/Zeroto521)\n\n## References\n\n- http://rishida.hatenablog.com/entry/2014/03/03/174331\n\n\n",
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