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Practical Work for Artificial Intelligence Systems 2016 Course at ITBA

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Neural Networks

The objective of this practical work was to implement a multilayer neural network with supervised learning which approximates an unknow function f(x, y) given some sample values.

For more details, statement of the practical work can be found at doc/Sistemas_de_Inteligencia_Artificial__TPE2.pdf.

The practical work is divided in two parts.

  1. Simple Perceptron (Documentation and usage)
  2. Multilayer Perceptron (Documentation and usage)

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