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A simple to use Feed Forward Neural Network built in Swift 3.0
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Simple-Swift-AI
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README.md

README.md

Simple-Swift-AI

A simple to use Feed Forward Neural Network built in Swift 3.0

Usage

  • A data set with multiple inputs and outputs can be used to train the network.
  • The default number of hidden layers is one, more can be added as per need.
  • The neuron output values range from 0 to 1.0. Modify your data set accordingly.

Features

  • Feed-forward neural network with input, hidden and output layers
  • Multiple hidden layers can be added with little extra code
  • Can come in use for categorization and function value prediction
  • Optional debug screen included for viewing the training and test outputs on simulator

An example of XOR gate training is included.


FFNN Training screen

FFNN Training


FFNN Test screen

FFNN Testing


By Arjun Gupta

Can be reached at : arjungupta497 (at) gmail.com

Twitter : https://www.twitter.com/arjunguptaxor

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