fei-nn: Train a neural network with MXNet in Haskell.
High level APIs to rain a neural network with MXNet in Haskell.
Modules
- MXNet
- MXNet.NN
- MXNet.NN.Callback
- DataIter
- MXNet.NN.DataIter.Class
- MXNet.NN.DataIter.Conduit
- MXNet.NN.DataIter.ConduitAsync
- MXNet.NN.DataIter.Streaming
- MXNet.NN.DataIter.Vec
- MXNet.NN.EvalMetric
- MXNet.NN.Initializer
- MXNet.NN.Layer
- MXNet.NN.LrScheduler
- MXNet.NN.Module
- MXNet.NN.Optimizer
- MXNet.NN.Session
- MXNet.NN.TaggedState
- MXNet.NN.Types
- MXNet.NN.Utils
- MXNet.NN.Utils.GraphViz
- MXNet.NN.Utils.Render
- MXNet.NN.Utils.Repa
- MXNet.NN
Flags
Automatic Flags
Name | Description | Default |
---|---|---|
mxnet_geq_10600 | MXNet >= 1.6.0 | Disabled |
neptune | Integrate Neptune | Disabled |
Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info
Downloads
- fei-nn-1.0.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
For package maintainers and hackage trustees
Candidates
- No Candidates
Versions [RSS] | 0.2.0, 1.0.0 |
---|---|
Dependencies | aeson (>=1.2), base (>=4.7 && <5.0), conduit (>=1.2 && <1.4), conduit-combinators (>=1.1.2 && <1.4), containers (>=0.5), fei-base, FontyFruity, formatting, graphviz, JuicyPixels, lens (>=4.12), neptune-backend (<0.2), Rasterific, repa, resourcet (>=1.1.8), rio, stm-conduit, streaming (>=0.1.4.5), template-haskell (>=2.12), time (<2.0), transformers-base (>=0.4.4), type-combinators, uuid, wl-pprint-text [details] |
License | BSD-3-Clause |
Copyright | Copyright: (c) 2020 Jiasen Wu |
Author | Jiasen Wu |
Maintainer | jiasenwu@hotmail.com |
Category | Machine Learning, AI |
Home page | http://github.com/pierric/fei-nn |
Uploaded | by JiasenWu at 2020-12-20T20:24:59Z |
Distributions | |
Reverse Dependencies | 3 direct, 1 indirect [details] |
Downloads | 616 total (0 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
Your Rating | |
Status | Docs not available [build log] All reported builds failed as of 2020-12-20 [all 3 reports] |