fei-nn: Train a neural network with MXNet in Haskell.

[ ai, bsd3, library, machine-learning ] [ Propose Tags ] [ Report a vulnerability ]

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

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

Package maintainers

JiasenWu

For package maintainers and hackage trustees

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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	630 total (1 in the last 30 days)
Rating	(no votes yet) [estimated by Bayesian average]
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Status	Docs not available [build log] All reported builds failed as of 2020-12-20 [all 3 reports]