IVGCVSW-5605 Doxygen: Integrate parsers into Software Tools section
* Creates new section in doxygen called "Software Tools"
* Moves the Parser page into Software Tools
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I19643074226d7c2e73e560e3abb52f519af1a7b2
diff --git a/docs/01_parsers.dox b/docs/01_parsers.dox
index 1af2503..80d616f 100644
--- a/docs/01_parsers.dox
+++ b/docs/01_parsers.dox
@@ -27,11 +27,14 @@
@page parsers Parsers
@tableofcontents
+Execute models from different machine learning platforms efficiently with our parsers. Simply choose a parser according
+to the model you want to run e.g. If you've got a model in tensorflow format (<model_name>.pb) use our tensorflow-parser.
+
@section S4_caffe_parser ArmNN Caffe Parser
`armnnCaffeParser` is a library for loading neural networks defined in Caffe protobuf files into the Arm NN runtime.
-##Caffe layers supported by the Arm NN SDK
+## Caffe layers supported by the Arm NN SDK
This reference guide provides a list of Caffe layers the Arm NN SDK currently supports.
## Although some other neural networks might work, Arm tests the Arm NN SDK with Caffe implementations of the following neural networks: