inf-backprop: Automatic differentiation and backpropagation.

Automatic differentiation and backpropagation. We do not attract gradient tape. Instead, the differentiation operator is defined directly as a map between differentiable function objects. Such functions are to be combined in arrow style using (>>>), (***), first, etc.

The original purpose of the package is an automatic backpropagation differentiation component for a functional type-dependent library for deep machine learning. See tutorial details.

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• inf-backprop-0.1.1.0.tar.gz [browse] (Cabal source package)
• Package description (as included in the package)

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• AlexeyTochin

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Candidates

• 0.1.0.0, 0.1.1.0