hnn: A reasonably fast and simple neural network library
A neural network library implemented purely in Haskell, relying on the hmatrix library.
This library provides a straight and simple feed-forward neural networks implementation which is way better than the one in hnn-0.1, in all aspects.
You can find a mini-tutorial in AI.HNN.FF.Network
.
Downloads
- hnn-0.3.tar.gz [browse] (Cabal source package)
- Package description (revised from the package)
Note: This package has metadata revisions in the cabal description newer than included in the tarball. To unpack the package including the revisions, use 'cabal get'.
Maintainer's Corner
For package maintainers and hackage trustees
Candidates
- No Candidates
Versions [RSS] | 0.1, 0.2.0.0, 0.3 |
---|---|
Dependencies | base (>=4 && <5), binary, bytestring, hmatrix (>=0.16), mwc-random (<0.15), random (<1.2), vector, vector-binary-instances (>=0.2), zlib [details] |
License | BSD-3-Clause |
Copyright | 2009-2016 Alp Mestanogullari, Gatlin Johnson |
Author | Alp Mestanogullari <alpmestan@gmail.com>, Gatlin Johnson <rokenrol@gmail.com> |
Maintainer | Alp Mestanogullari <alpmestan@gmail.com> |
Revised | Revision 1 made by AlpMestanogullari at 2020-11-20T23:22:44Z |
Category | AI |
Home page | http://github.com/alpmestan/hnn |
Bug tracker | http://github.com/alpmestan/hnn/issues |
Source repo | head: git clone http://github.com/alpmestan/hnn.git |
Uploaded | by AlpMestanogullari at 2016-03-25T23:41:00Z |
Distributions | |
Reverse Dependencies | 1 direct, 0 indirect [details] |
Downloads | 2882 total (6 in the last 30 days) |
Rating | 2.0 (votes: 1) [estimated by Bayesian average] |
Your Rating | |
Status | Docs available [build log] Last success reported on 2016-11-27 [all 1 reports] |