MLP-Numpy - A simple modular implementation of Multi Layer Perceptron in pure Numpy.

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Deep LearningMLP-Numpy
Overview

MLP-Numpy

A simple modular implementation of Multi Layer Perceptron in pure Numpy. I used the Iris dataset from scikit-learn library for the experiments.

Features

  • Fully modular and configurable
  • Different learning rates can be used for different layers and iterations. (Dynamic learning rate)
  • Pure numpy with no additional dependecies
  • Supports Linear, Softmax, Sigmoid, TanH, and ReLU activations
Owner
Soroush Omranpour
Musician, Deep learning Engineer.
Soroush Omranpour
GitHub Repository
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