{
    "info": {
        "author": "Ravindra Marella",
        "author_email": "mv.ravindra007@gmail.com",
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            "Development Status :: 1 - Planning",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Software Development",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "Recurrent Neural Networks using TensorFlow.\n\n\n## Installation\n\n```sh\npip install rnn\n```\n\nIt is recommended to use a [virtual environment].\n\n\n## Getting Started\n\n```py\nfrom rnn import LSTM\n\nmodel = LSTM(units=128, projections=300)\noutputs = model(inputs)\n```\n\n### Sequence Generation\n\n```py\nfrom rnn import Generator\n\nsequence = Generator(model)\nsample = sequence(seed, length)\n```\n\n\n## License\n\n[MIT][license]\n\n\n[license]: /LICENSE\n[virtual environment]: https://docs.python.org/3/library/venv.html",
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        "keywords": "rnn tensorflow neural networks deep learning machine learning artificial intelligence ml ai",
        "license": "MIT",
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        "maintainer_email": "",
        "name": "rnn",
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