Metadata-Version: 2.1
Name: numpy-nn
Version: 0.2.6
Summary: Numpy NN is a Deep Neural Network Package which is built on base Numpy operations. This project is under development and any contributions are welcome.
Home-page: https://github.com/rahuldshetty/numpy_nn
Author: Rahul D Shetty
Author-email: 35rahuldshetty@gmail.com
License: MIT license
Keywords: numpy_nn
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5

========
numpy_nn
========


.. image:: https://img.shields.io/pypi/v/numpy_nn.svg
        :target: https://pypi.org/project/numpy-nn/0.1.0/

.. image:: https://img.shields.io/travis/rahuldshetty/numpy_nn.svg
        :target: https://travis-ci.com/rahuldshetty/numpy_nn

.. image:: https://readthedocs.org/projects/numpy-nn/badge/?version=latest
        :target: https://numpy-nn.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status


.. image:: https://pyup.io/repos/github/rahuldshetty/numpy_nn/shield.svg
     :target: https://pyup.io/repos/github/rahuldshetty/numpy_nn/
     :alt: Updates



Numpy NN is a Deep Neural Network Package which is built on base Numpy operations. This project is under development and any contributions are welcome.


* Free software: MIT license
* Documentation: https://numpy-nn.readthedocs.io.


Features
--------
* Layers: (Neurons)
* Losses: (Mean Absolute Error, Mean Squared Error, Binary Cross Entropy, Cross Entropy)
* Optimizer: (Stochastic Gradient Descent, RMSProp, Adam, Momentum)
* Activation: (ReLU, TanH, Sigmoid, LeakyReLU. ELU, Softmax)
* Layer Abstraction to implement custom activations and layers
* Persist model for later reuse.

TODO
--------
* Implementation of different Losses
* Distributed Computation or GPU utilization
* Dataset processing utilities


Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


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History
=======

0.1.0 (2020-05-10)
------------------

* First release on PyPI.


