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.Vec
  - MXNet.NN.EvalMetric
  - MXNet.NN.Initializer
  - MXNet.NN.Layer
  - MXNet.NN.LrScheduler
  - MXNet.NN.NDArray
  - MXNet.NN.Optimizer
  - MXNet.NN.Types
  - MXNet.NN.Utils
    - MXNet.NN.Utils.GraphViz

Downloads

fei-nn-0.2.0.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), attoparsec (>=0.13), attoparsec-binary (>=0.2), base (>=4.7 && <5.0), bytestring (>=0.10), containers (>=0.5), exceptions (>=0.8.3), fei-base, fei-nn, ghc-prim, graphviz, lens (>=4.12), mmorph (>=1.0.9), mtl (>=2.2.0), resourcet (>=1.1.8), template-haskell (>=2.12), text (>=1.2), time (<2.0), transformers-base (>=0.4.4), unordered-containers (>=0.2.8), vector (>=0.12) [details]
License	BSD-3-Clause
Copyright	Copyright: (c) 2018 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 2019-09-17T16:06:36Z
Distributions
Reverse Dependencies	3 direct, 1 indirect [details]
Executables	lenet
Downloads	645 total (2 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 2019-09-17 [all 3 reports]