inf-backprop: Automatic differentiation and backpropagation.

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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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Versions [RSS] 0.1.0.0, 0.1.0.1, 0.1.0.2
Change log CHANGELOG.md
Dependencies base (>=4.7 && <5), comonad, isomorphism-class, monad-logger, numhask, simple-expr, text, transformers [details]
License BSD-3-Clause
Copyright 2023 Alexey Tochin
Author Alexey Tochin
Maintainer Alexey.Tochin@gmail.com
Category Mathematics
Uploaded by AlexeyTochin at 2023-05-13T12:43:14Z
Distributions NixOS:0.1.0.2
Downloads 247 total (9 in the last 30 days)
Rating 2.0 (votes: 1) [estimated by Bayesian average]
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Status Docs uploaded by user
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