X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=README.md;h=91c7684fbb5628bd8af89a4e5086fd31a2bef601;hb=da6186a657b7563841416c42336e52937b76d67f;hp=e18ea1f91e70bfdb0ebc372073ea5d74e32128ba;hpb=be353fdfc2a57172064a024f8cec6015c9d908e5;p=dagnn.git

diff --git a/README.md b/README.md
index e18ea1f..91c7684 100644
--- a/README.md
+++ b/README.md
@@ -40,7 +40,7 @@ which would encode the following graph
 
 and run a forward pass with a random batch of 30 samples.
 
-Note that DAG:addEdge
+Note that DAG:addEdge allows to add a bunch of edges at once. This is particularly useful to add anonymous modules which have a single predecessor and successor.
 
 #Input and output#
 
@@ -48,6 +48,6 @@ If a node has a single successor, its output is sent unchanged as input to that
 
 The expected input (respectively the produced output) is a nested table of inputs reflecting the structure of the nested table of modules provided to DAG:setInput (respectively DAG:setOutput)
 
-So for instance, in the example above, the DAG expects a tensor as input, since it is the input to the module a, and its output will is a table composed of two tensors, corresponding to the outputs of e and f respectively.
+So for instance, in the example above, the model expects a tensor as input, since it is the input to the module a, and its output will is a table composed of two tensors, corresponding to the outputs of d and e respectively.
 
 *Francois Fleuret, Jan 12th, 2017*