GliaML - Python Machine Learning Library
Project description
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:
Allow backpropagation with the sigmoid, tanh, and ReLU activation functions.
Allow normalisation of a classifier with the softmax function.
Allow learning rate hyperparameter functionality (including biases)
See example.py for usage.
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