Cabal revisions of deeplearning-hs-0.1.0.2

Hackage metadata revisions edit the .cabal file after upload; each diff below is one revision.

--- Initial deeplearning.cabal generated by cabal init.  For further--- documentation, see http://haskell.org/cabal/users-guide/---name:                deeplearning-hs-version:             0.1.0.2-description:         Implements type-safe deep neural networks-synopsis:            Deep Learning in Haskell-homepage:            https://github.com/ajtulloch/deeplearning-hs-license:             MIT-license-file:        LICENSE-author:              Andrew Tulloch-maintainer:          Andrew Tulloch <andrew+cabal@tullo.ch>-category:            Math-build-type:          Simple-cabal-version:       >=1.10-bug-reports:         https://github.com/ajtulloch/deeplearning-hs/issues-source-repository head-  type:      git-  location:  https://github.com/ajtulloch/deeplearning-hs.git--Library-  exposed-modules: DeepLearning.ConvNet, DeepLearning.Util-  default-language:    Haskell2010-  GHC-Options: -Wall-  build-depends:-        base >=4.6 && <4.7,-        accelerate,-        vector,-        repa,-        repa-algorithms,-        mtl--Test-suite deeplearning_test-  Main-Is: DeepLearning/ConvNetTest.hs-  Type: exitcode-stdio-1.0-  x-uses-tf: true-  default-language: Haskell2010-  build-depends:-        deeplearning-hs,-        base >=4.6 && <4.7,-        accelerate,-        vector,-        repa,-        repa-algorithms,-        mtl,-        QuickCheck,-        test-framework-quickcheck2,-        test-framework-  Ghc-Options:          -Wall--executable deeplearning_demonstration-  main-is: Main.hs-  default-language: Haskell2010-  GHC-Options:    -Wall-  build-depends:-        deeplearning-hs,-        base >=4.6 && <4.7,-        accelerate,-        vector,-        repa,-        repa-algorithms,-        mtl+-- Initial deeplearning.cabal generated by cabal init.  For further
+-- documentation, see http://haskell.org/cabal/users-guide/
+
+
+name:                deeplearning-hs
+version:             0.1.0.2
+x-revision: 1
+description:         Implements type-safe deep neural networks
+synopsis:            Deep Learning in Haskell
+homepage:            https://github.com/ajtulloch/deeplearning-hs
+license:             MIT
+license-file:        LICENSE
+author:              Andrew Tulloch
+maintainer:          Andrew Tulloch <andrew+cabal@tullo.ch>
+category:            Math
+build-type:          Simple
+cabal-version:       >=1.10
+bug-reports:         https://github.com/ajtulloch/deeplearning-hs/issues
+source-repository head
+  type:      git
+  location:  https://github.com/ajtulloch/deeplearning-hs.git
+
+Library
+  exposed-modules: DeepLearning.ConvNet, DeepLearning.Util
+  default-language:    Haskell2010
+  GHC-Options: -Wall
+  build-depends:
+        base >=4.6 && <4.8,
+        accelerate,
+        vector,
+        repa,
+        repa-algorithms,
+        mtl
+
+Test-suite deeplearning_test
+  Main-Is: DeepLearning/ConvNetTest.hs
+  Type: exitcode-stdio-1.0
+  x-uses-tf: true
+  default-language: Haskell2010
+  build-depends:
+        deeplearning-hs,
+        base >=4.6 && <4.8,
+        accelerate,
+        vector,
+        repa,
+        repa-algorithms,
+        mtl,
+        QuickCheck,
+        test-framework-quickcheck2,
+        test-framework
+  Ghc-Options:          -Wall
+
+executable deeplearning_demonstration
+  main-is: Main.hs
+  default-language: Haskell2010
+  GHC-Options:    -Wall
+  build-depends:
+        deeplearning-hs,
+        base >=4.6 && <4.8,
+        accelerate,
+        vector,
+        repa,
+        repa-algorithms,
+        mtl