GitHub - stoerr/simple-neural-network-learning: This contains an explorational implementation of learning in neural networks, as well as some simple helper classes (automatic differentation, statistics, timing). It covers the RProp algoritm and an experiment to extend the gradient descent idea with using the second derivation to automatically select a good step width.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
src		src
.gitignore		.gitignore
TODO.txt		TODO.txt
build.sbt		build.sbt
nnDerivation.pl		nnDerivation.pl

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This contains an explorational implementation of learning in neural networks, as well as some simple helper classes (automatic differentation, statistics, timing). It covers the RProp algoritm and an experiment to extend the gradient descent idea with using the second derivation to automatically select a good step width.