Metadata-Version: 2.1
Name: rnn
Version: 0.0.0
Summary: Recurrent Neural Networks using TensorFlow.
Home-page: https://marella.github.io/rnn/
Author: Ravindra Marella
Author-email: mv.ravindra007@gmail.com
License: MIT
Description: Recurrent Neural Networks using TensorFlow.
        
        
        ## Installation
        
        ```sh
        pip install rnn
        ```
        
        It is recommended to use a [virtual environment].
        
        
        ## Getting Started
        
        ```py
        from rnn import LSTM
        
        model = LSTM(units=128, projections=300)
        outputs = model(inputs)
        ```
        
        ### Sequence Generation
        
        ```py
        from rnn import Generator
        
        sequence = Generator(model)
        sample = sequence(seed, length)
        ```
        
        
        ## License
        
        [MIT][license]
        
        
        [license]: /LICENSE
        [virtual environment]: https://docs.python.org/3/library/venv.html
        
Keywords: rnn tensorflow neural networks deep learning machine learning artificial intelligence ml ai
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
