Welcome to neuralpy’s documentation!

This page desribes how to get set up with neuralpy and how to start using it. We always need help! Contribute on Github!

neuralpy is a machine learning library specializing in neural networks. It’s intuitive interface makes it easy for you to quickly start training data and testing models.

The newest package features:

• simple processes for loading, training, and testing data
• variable input and output sizes.
• flexibility with various network structures, activation/output functions, and layer connectivity.
• graphical cost and epoch surveillance through matplotlib.
• variable mini-batch sizes for stochastic gradient descent.
• abstraction and modularization of backpropagation.
• extensibility for developers to add their own features, layer types and activation functions.

Table of Contents

• Installing
• neuralpy
  • Getting Started (XOR example)