HaskellNN: High Performance Neural Network in Haskell

[ ai, library ] [ Propose Tags ]

High Performance Neural Network in Haskell

Provides fast training algorithms using hmatrix's bindings to GSL and custom bindings to the liblbfgs C-library

Supported training algorithms: Gradient Descent, Conjugate Gradient, BFGS, LBFGS

Go to https://github.com/ktklam9/HaskellNN for examples and tests for usage

Versions 0.1, 0.1.1, 0.1.2, 0.1.3
Dependencies base (==4.*), hmatrix (>=, random [details]
License LicenseRef-GPL
Author Kiet Lam
Maintainer Kiet Lam <ktklam9@gmail.com>
Category AI
Source repo head: git clone https://github.com/ktklam9/HaskellNN
Uploaded by KietLam at Tue Jan 24 17:58:43 UTC 2012
Distributions NixOS:0.1.3
Downloads 2073 total (22 in the last 30 days)
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Status Docs not available [build log]
All reported builds failed as of 2016-12-25 [all 9 reports]
Hackage Matrix CI


  • AI
    • AI.Calculation
      • AI.Calculation.Activation
      • AI.Calculation.Cost
      • AI.Calculation.Gradients
      • AI.Calculation.NetworkOutput
    • AI.Model
      • AI.Model.Classification
      • AI.Model.General
      • AI.Model.GenericModel
    • AI.Network
    • AI.Signatures
    • AI.Training


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