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

  • Users should focus on AI.Model for most usages (classification / regression)

  • Other modules are provided for user expansion if needed

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


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Versions [RSS] 0.1, 0.1.1, 0.1.2, 0.1.3
Dependencies base (>=4 && <5), 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 2012-01-29T02:15:36Z
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 4137 total (10 in the last 30 days)
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Status Docs uploaded by user
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