Metadata-Version: 2.1
Name: gliaml
Version: 0.0.2
Summary: GliaML - Python Machine Learning Library
Home-page: https://github.com/Archiecool4/gliaml
Author: Archie Shahidullah
Author-email: archie@caltech.edu
License: http://www.apache.org/licenses/LICENSE-2.0
Keywords: machine learning neural networks
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: numpy

GliaML
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GliaML is simple, yet powerful machine learning library written in Python.

Currently, it allows a user to easily create a multi-layer perceptron neural network with
the following features:

    1. Allow backpropagation with the sigmoid, tanh, and ReLU activation functions.
    2. Allow normalisation of a classifier with the softmax function.
    3. Allow learning rate hyperparameter functionality (including biases)

See example.py for usage.

