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Neural network written in numpy with basic functionality.

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davidtweedle/neuralnetwork

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Generic Neural Network


Introduction

This repository contains a neural network implemented in numpy. It provides the following functionalities:

  • feedforward neural network layer with bias and dropout
  • ReLU or softmax for activation
  • cross entropy or residual sum of squares for loss function
  • layers can easily be stacked
  • adjustible batch size

Installing

git clone https://github.com/davidtweedle/neuralnetwork.git
cd neuralnetwork
pip install .

To see a demonstration, you can check out the file example_mnist.ipynb

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Neural network written in numpy with basic functionality.

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