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 |
|---|---|
| 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 | 4187 total (15 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] |