backprop-0.1.1.0: backprop.cabal
-- This file has been generated from package.yaml by hpack version 0.20.0.
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-- see: https://github.com/sol/hpack
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name: backprop
version: 0.1.1.0
synopsis: Heterogeneous automatic differentation (backpropagation)
description: Write your functions to compute your result, and the library will
automatically generate functions to compute your gradient.
.
Implements heterogeneous reverse-mode automatic differentiation, commonly
known as "backpropagation".
.
See <https://github.com/mstksg/backprop#readme README.md>
category: Math
homepage: https://github.com/mstksg/backprop#readme
bug-reports: https://github.com/mstksg/backprop/issues
author: Justin Le
maintainer: justin@jle.im
copyright: (c) Justin Le 2018
license: BSD3
license-file: LICENSE
build-type: Simple
cabal-version: >= 1.10
extra-source-files:
Build.hs
CHANGELOG.md
README.md
renders/backprop-mnist.md
renders/backprop-mnist.pdf
renders/extensible-neural.md
renders/extensible-neural.pdf
samples/backprop-mnist.lhs
samples/extensible-neural.lhs
source-repository head
type: git
location: https://github.com/mstksg/backprop
library
hs-source-dirs:
src
ghc-options: -Wall -fprint-explicit-kinds -fwarn-redundant-constraints
build-depends:
base >=4.7 && <5
, deepseq
, microlens
, primitive
, reflection
, transformers
, type-combinators
, vector
exposed-modules:
Numeric.Backprop
Numeric.Backprop.Op
Numeric.Backprop.Tuple
other-modules:
Numeric.Backprop.Internal
Data.Type.Util
default-language: Haskell2010
benchmark backprop-mnist-bench
type: exitcode-stdio-1.0
main-is: MNISTBench.hs
hs-source-dirs:
bench
ghc-options: -Wall -fprint-explicit-kinds -fwarn-redundant-constraints -threaded -rtsopts -with-rtsopts=-N -O2
build-depends:
backprop
, base >=4.7 && <5
, bifunctors
, criterion
, deepseq
, directory
, hmatrix >=0.18
, lens
, mnist-idx
, mwc-random
, time
, transformers
, vector
other-modules:
Paths_backprop
default-language: Haskell2010