HaskellNN: High Performance Neural Network in Haskell
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
Modules
[Index]
Downloads
- HaskellNN-0.1.3.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
For package maintainers and hackage trustees
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Versions [RSS] | 0.1, 0.1.1, 0.1.2, 0.1.3 |
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Dependencies | base (>=4 && <5), hmatrix (>=0.13.0.0), 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 |
Distributions | |
Reverse Dependencies | 1 direct, 0 indirect [details] |
Downloads | 4195 total (8 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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Status | Docs uploaded by user Build status unknown [no reports yet] |