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Matrix-Based Neural Networks

  • Alexandre Bergel
Chapter
  • 33 Downloads

Abstract

This chapter revises the implementation of our neural network. In this revision, our network will use matrices to compute the forward and backward propagation algorithms. Overall, our matrix-based implementation is composed of two classes, NMLayer and NMNetwork. Since most of the computation is delegated to the matrix library we defined in the previous chapter, our new version of the neural network is rather light in terms of code.

Copyright information

© Alexandre Bergel​ 2020

Authors and Affiliations

  • Alexandre Bergel
    • 1
  1. 1.SantiagoChile

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