inf-backprop: Automatic differentiation and backpropagation.

[ bsd3, library, mathematics ] [ Propose Tags ]

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.

Downloads

Maintainer's Corner

Package maintainers

For package maintainers and hackage trustees

Candidates

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 LTSHaskell:0.1.0.2, NixOS:0.1.0.2, Stackage:0.1.0.2
Downloads 210 total (7 in the last 30 days)
Rating 2.0 (votes: 1) [estimated by Bayesian average]
Your Rating
  • λ
  • λ
  • λ
Status Docs uploaded by user
Build status unknown [no reports yet]