packages feed

neural 0.1.0.0 → 0.1.0.1

raw patch · 1 files changed

+27/−6 lines, 1 filesdep ~neuralPVP ok

version bump matches the API change (PVP)

Dependency ranges changed: neural

API changes (from Hackage documentation)

Files

neural.cabal view
@@ -1,5 +1,5 @@ name: neural-version: 0.1.0.0+version: 0.1.0.1 cabal-version: >=1.10 build-type: Simple license: MIT@@ -9,7 +9,28 @@ homepage: http://github.com/brunjlar/neural synopsis: Neural Networks in native Haskell description:-    Please see README.md+    The goal of `neural` is to provide a modular and flexible neural network library written in native Haskell.+    .+    Features include+    .+    * /composability/ via+    <https://hackage.haskell.org/package/base-4.9.0.0/docs/Control-Arrow.html Arrow> instances and+    <https://hackage.haskell.org/package/pipes pipes>,+    .+    * /automatic differentiation/ for automatic gradient descent/ backpropagation training+    (using Edward Kmett's fabulous <https://hackage.haskell.org/package/ad ad> library).+    .+    The idea is to be able to easily define new components and wire them up in flexible, possibly+    complicated ways (convolutional deep networks etc.).+    .+    Two examples are included as proof of concept:+    .+    * A simple neural network that approximates the sqrt function on [0,4].+    .+    * A slightly more complicated neural network that solves the famous+    <https://en.wikipedia.org/wiki/Iris_flower_data_set Iris flower> problem.+    .+    The library is still very much experimental at this point. category: Machine Learning author: Lars Bruenjes @@ -64,7 +85,7 @@     build-depends:         base >=4.7 && <5,         attoparsec >=0.13.0.1 && <0.14,-        neural >=0.1.0.0 && <0.2,+        neural >=0.1.0.1 && <0.2,         text >=1.2.2.1 && <1.3     default-language: Haskell2010     hs-source-dirs: examples/iris@@ -75,7 +96,7 @@     build-depends:         base >=4.7 && <5,         MonadRandom >=0.4.2.2 && <0.5,-        neural >=0.1.0.0 && <0.2+        neural >=0.1.0.1 && <0.2     default-language: Haskell2010     hs-source-dirs: examples/sqrt     ghc-options: -Wall -threaded -rtsopts -with-rtsopts=-N -fexcess-precision -optc-O3 -optc-ffast-math@@ -87,7 +108,7 @@         base >=4.7 && <5,         hspec >=2.2.2 && <2.3,         MonadRandom >=0.4.2.2 && <0.5,-        neural >=0.1.0.0 && <0.2+        neural >=0.1.0.1 && <0.2     default-language: Haskell2010     hs-source-dirs: test     other-modules:@@ -100,7 +121,7 @@     build-depends:         base >=4.7 && <5,         doctest >=0.10.1 && <0.11,-        neural >=0.1.0.0 && <0.2+        neural >=0.1.0.1 && <0.2     default-language: Haskell2010     hs-source-dirs: doctest     ghc-options: -Wall -threaded -rtsopts -with-rtsopts=-N -fexcess-precision -optc-O3 -optc-ffast-math