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PinaPL

PinaPL Is Not A Projet Long

This is a second implementation of a standard neural network. It uses the forward propagation algorithm for computing outputs, and the backward propagation algorithm for learning.

Classes

The included classes/files are:

  • NeuralNetwork, the data structure wrapper with the main algorithms
  • Neuron which represents a simple neuron (or perceptron) and transforms data
  • NeuralConnection which represents either a connection between two neurons, input and output values, or bias values, and stores data
  • Functions which contains the composition, activation and cost functions
  • idxParser, the parser for MNIST dataset
  • PinaPLDefines and NeuralNetworkDefines which contains some usefull macros
  • main, with the testing functions for the XOR operator and the MNIST dataset