Added some links.

[dagnn.git] / README.md

diff --git a/README.md b/README.md
index fbb7a96..3df18f5 100644 (file)
--- a/README.md
+++ b/README.md
@@ -1,9 +1,9 @@
 
 # Introduction #
 
-This package implements a new module nn.DAG for the torch framework,
-which inherits from nn.Container and allows to combine modules in an
-arbitrary graph without cycle.
+This package implements a new module nn.DAG for the [torch framework](https://torch.ch),
+which inherits from [nn.Container](https://github.com/torch/nn/blob/master/Container.lua) and allows to combine modules in an
+arbitrary [Directed Acyclic Graph (DAG).](https://en.wikipedia.org/wiki/Directed_acyclic_graph)
 
 ## Example ##
 
@@ -80,11 +80,11 @@ Create a new empty DAG, which inherits from nn.Container.
 ### nn.DAG:connect([module1 [, module2 [, ...]]]) ###
 
 Add new nodes corresponding to the modules passed as arguments if they
-are not already existing. Add edges between every two nodes
-corresponding to a pair of successive modules in the arguments.
+have not been already added in a previous call. Add edges between
+every two nodes associated to two successive modules in the arguments.
 
-Calling it with n > 2 arguments is strictly equivalent to calling it
-n-1 times on the pairs of successive arguments.
+Calling this function with n > 2 arguments is strictly equivalent to
+calling it n-1 times on the pairs of successive arguments.
 
 ### nn.DAG:setInput(i) ###