semvec/pypi-packages huggingface dataset:
numpy-nn 0.2.6
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.
License: MIT license
Requires Python: >=3.5
Keywords: numpy_nn

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numpy_nn
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        :target: https://pypi.org/project/numpy-nn/0.1.0/

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


Credits
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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
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0.1.0 (2020-05-10)
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* First release on PyPI.