-- This file has been generated from package.yaml by hpack version 0.20.0. -- -- see: https://github.com/sol/hpack -- -- hash: d40da486697c0035648b98d75f36ea36bb66bdb648bb3406bf9eed465f497bb2 name: backprop version: 0.1.2.0 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 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