Cosmetics.

[dagnn.git] / README.md

diff --git a/README.md b/README.md
index e18ea1f..91c7684 100644 (file)
--- 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*