The HaskellNN package
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
Properties
| Versions | 0.1, 0.1.1, 0.1.2, 0.1.3 |
|---|---|
| Dependencies | base (4.*), hmatrix (≥0.13.0.0), random |
| License | GPL |
| Author | Kiet Lam |
| Maintainer | Kiet Lam <ktklam9@gmail.com> |
| Category | AI |
| Source repository | git clone https://github.com/ktklam9/HaskellNN |
| Upload date | Sun Jan 29 02:15:36 UTC 2012 |
| Uploaded by | KietLam |
| Built on | ghc-7.2 |
Modules
Downloads
- HaskellNN-0.1.3.tar.gz (Cabal source package)
- package description (included in the package)