X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=README.md;h=1d6f5bd811b5706b39890c13fe4d5404dc7768c1;hb=07a8c54a66b01f342e4d03ca2cf99710d56806d0;hp=436aa63d1c585c267e8ee40756f23588a01765b0;hpb=5a149d40e14c1931103514b41c56a4139f06973a;p=dagnn.git

diff --git a/README.md b/README.md
index 436aa63..1d6f5bd 100644
--- a/README.md
+++ b/README.md
@@ -48,13 +48,18 @@ Note that DAG:connect allows to add a bunch of edges at once. This is
 particularly useful to add anonymous modules which have a single
 predecessor and successor.
 
+#Usage#
+
 ##Input and output##
 
-If a node has a single predecessor, its output is taken as-is. If it
-has multiple predecessors, all the outputs are collected into a table,
-and the table is used as input. The indexes of the outputs in that
-table reflects the order in which the predecessors appeared in the
-DAG:connect() commands.
+The DAG can deal with modules which take as input and produce as
+output tensors and nested tables of tensors.
+
+If a node has a single predecessor, the output of the latter is taken
+as-is as the input of the former. If it has multiple predecessors, all
+the outputs are collected into a table, and the table is used as
+input. The indexes of the outputs in that table reflects the order in
+which the edges where created in the DAG:connect() commands.
 
 The input to the DAG (respectively the produced output) is a nested
 table of inputs reflecting the structure of the nested table of
@@ -65,7 +70,7 @@ 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.
 
-##Usage##
+##Functions##
 
 ###nn.DAG()###
 
@@ -83,8 +88,8 @@ n-1 times on the pairs of successive arguments.
 ###nn.DAG:setInput(i)###
 
 Defines the content and structure of the input. The argument should be
-either a module, or a (nested) table of module. The input to the DAG
-should be a (nested) table of inputs with the corresponding structure.
+either a module, or a (nested) table of modules. The input to the DAG
+should be a (nested) table of inputs, with the corresponding structure.
 
 ###nn.DAG:setOutput(o)###
 
@@ -104,17 +109,5 @@ a pdf file with
 dot graph.dot -T pdf -o graph.pdf
 ```
 
-###nn.DAG:updateOutput(input)###
-
-See the torch documentation.
-
-###nn.DAG:updateGradInput(input, gradOutput)###
-
-See the torch documentation.
-
-###nn.DAG:accGradParameters(input, gradOutput, scale)###
-
-See the torch documentation.
-
 -- 
 *Francois Fleuret, Jan 13th, 2017*