fei-nn-0.2.0: fei-nn.cabal
name: fei-nn
version: 0.2.0
synopsis: Train a neural network with MXNet in Haskell.
description: High level APIs to rain a neural network with MXNet in Haskell.
homepage: http://github.com/pierric/fei-nn
license: BSD3
license-file: LICENSE
author: Jiasen Wu
maintainer: jiasenwu@hotmail.com
copyright: Copyright: (c) 2018 Jiasen Wu
category: Machine Learning, AI
build-type: Simple
cabal-version: 1.24
Library
exposed-modules: MXNet.NN
MXNet.NN.NDArray
MXNet.NN.Types
MXNet.NN.Utils
MXNet.NN.Utils.GraphViz
MXNet.NN.Layer
MXNet.NN.Optimizer
MXNet.NN.LrScheduler
MXNet.NN.EvalMetric
MXNet.NN.Initializer
MXNet.NN.Callback
MXNet.NN.DataIter.Class
MXNet.NN.DataIter.Vec
other-modules:
hs-source-dirs: src
ghc-options: -Wall
default-language: Haskell2010
default-extensions: GADTs,
TypeFamilies,
OverloadedLabels
if impl(ghc >= 8.6)
default-extensions: NoMonadFailDesugaring
build-depends: base >= 4.7 && < 5.0
, unordered-containers >= 0.2.8
, resourcet >= 1.1.8
, vector >= 0.12
, mtl >= 2.2
, lens >= 4.12
, transformers-base >= 0.4.4
, aeson >= 1.2
, containers >= 0.5
, template-haskell >= 2.12
, graphviz
, text >= 1.2
, bytestring >= 0.10
, exceptions >= 0.8.3
, time < 2.0
, fei-base
Executable lenet
main-is: lenet.hs
other-modules: Parse DatasetVector
hs-source-dirs: examples/mnist
ghc-options: -Wall
default-language: Haskell2010
build-depends: base >= 4.7 && < 5.0
, unordered-containers >= 0.2.8
, attoparsec >= 0.13
, attoparsec-binary >= 0.2
, vector >= 0.12
, bytestring >= 0.10
, resourcet >= 1.1.8
, exceptions >= 0.8.3
, mmorph >= 1.0.9
, mtl >= 2.2.0
, ghc-prim
, fei-base
, fei-nn