diff --git a/neural.cabal b/neural.cabal
--- a/neural.cabal
+++ b/neural.cabal
@@ -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