Point readme files to latest doxygen documentation
* excluding our top level readme
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I45b156c248178a141b8497dcc4d09148b67bf406
diff --git a/delegate/README.md b/delegate/README.md
index ee9f682..c6bd51c 100644
--- a/delegate/README.md
+++ b/delegate/README.md
@@ -3,5 +3,4 @@
'armnnDelegate' is a library for accelerating certain TensorFlow Lite operators on Arm hardware by providing
the TensorFlow Lite interpreter with an alternative implementation of the operators via its delegation mechanism.
-For more information, like a list of supported operators, please visit our doxygen documentation that can be found
-in the [wiki section](https://github.com/ARM-software/armnn/wiki/Documentation) of our github repository.
+For more information, like a list of supported operators, please visit our [doxygen documentation](https://arm-software.github.io/armnn/latest/delegate.xhtml).
diff --git a/src/armnnCaffeParser/README.md b/src/armnnCaffeParser/README.md
index 17dbe44..194254c 100644
--- a/src/armnnCaffeParser/README.md
+++ b/src/armnnCaffeParser/README.md
@@ -3,5 +3,4 @@
`armnnCaffeParser` is a library for loading neural networks defined in Caffe protobuf files into the Arm NN runtime.
For more information, a list of supported Caffe layers, and the networks that have been tested,
-please visit "Software Tools" -> "Parsers" -> "Arm NN Caffe Parser" in our doxygen documentation that can be found in
-the [wiki section](https://github.com/ARM-software/armnn/wiki/Documentation) of our github repository.
+please visit our [doxygen documentation](https://arm-software.github.io/armnn/latest/parsers.xhtml#S4_caffe_parser).
diff --git a/src/armnnConverter/README.md b/src/armnnConverter/README.md
index afff3c9..81322bc 100644
--- a/src/armnnConverter/README.md
+++ b/src/armnnConverter/README.md
@@ -3,7 +3,3 @@
The `ArmnnConverter` is a program for converting neural networks from other formats to Arm NN format.
Currently the program supports models in Caffe, Onnx, Tensorflow Protocol Buffers and Tensorflow Lite FlatBuffers formats.
Run the program with no arguments to see command-line help.
-
-For more information, a list of supported layers, and the networks that have been tested,
-please visit "Software Tools" -> "Converter" in our doxygen documentation that can be found in
-the [wiki section](https://github.com/ARM-software/armnn/wiki/Documentation) of our github repository.
diff --git a/src/armnnDeserializer/README.md b/src/armnnDeserializer/README.md
index b43f15d..2b861c3 100644
--- a/src/armnnDeserializer/README.md
+++ b/src/armnnDeserializer/README.md
@@ -4,5 +4,4 @@
into the Arm NN runtime.
For more information about the layers that are supported, and the networks that have been tested,
-take a look at "Software Tools" -> "Deserializer" in our doxygen documentation which can be found in
-the [wiki section](https://github.com/ARM-software/armnn/wiki/Documentation) of our github repository.
\ No newline at end of file
+take a look at our [doxygen documentation](https://arm-software.github.io/armnn/latest/deserializer.xhtml).
\ No newline at end of file
diff --git a/src/armnnOnnxParser/README.md b/src/armnnOnnxParser/README.md
index 6ba3fa2..f279c4b 100644
--- a/src/armnnOnnxParser/README.md
+++ b/src/armnnOnnxParser/README.md
@@ -3,5 +3,4 @@
`armnnOnnxParser` is a library for loading neural networks defined in ONNX protobuf files into the Arm NN runtime.
For more information, a list of supported ONNX layers, and the networks that have been tested,
-please visit "Software Tools" -> "Parsers" -> "Arm NN ONNX Parser" in our doxygen documentation that can be found in
-the [wiki section](https://github.com/ARM-software/armnn/wiki/Documentation) of our github repository.
\ No newline at end of file
+please visit our [doxygen documentation](https://arm-software.github.io/armnn/latest/parsers.xhtml#S5_onnx_parser).
\ No newline at end of file
diff --git a/src/armnnSerializer/README.md b/src/armnnSerializer/README.md
index e6874f4..941f74f 100644
--- a/src/armnnSerializer/README.md
+++ b/src/armnnSerializer/README.md
@@ -3,5 +3,4 @@
The `armnnSerializer` is a library for serializing an Arm NN network to a stream.
For more information about the layers that are supported, and the networks that have been tested,
-take a look at "Software Tools" -> "Serializer" in our doxygen documentation which can be found in the
-[wiki section](https://github.com/ARM-software/armnn/wiki/Documentation) of our github repository.
\ No newline at end of file
+take a look at our [doxygen documentation](https://arm-software.github.io/armnn/latest/serializer.xhtml).
\ No newline at end of file
diff --git a/src/armnnTfLiteParser/README.md b/src/armnnTfLiteParser/README.md
index b2b1ac0..15cb9cb 100644
--- a/src/armnnTfLiteParser/README.md
+++ b/src/armnnTfLiteParser/README.md
@@ -4,5 +4,4 @@
into the Arm NN runtime.
For more information, a list of supported TensorFlow Lite layers, and the networks that have been tested,
-please visit "Software Tools" -> "Parsers" -> "Arm NN Tf Lite Parser" in our doxygen documentation that can be found in
-the [wiki section](https://github.com/ARM-software/armnn/wiki/Documentation) of our github repository.
+please visit our [doxygen documentation](https://arm-software.github.io/armnn/latest/parsers.xhtml#S6_tf_lite_parser).
diff --git a/src/armnnTfParser/README.md b/src/armnnTfParser/README.md
index 33e1999..9894fa9 100644
--- a/src/armnnTfParser/README.md
+++ b/src/armnnTfParser/README.md
@@ -3,5 +3,4 @@
`armnnTfParser` is a library for loading neural networks defined by TensorFlow protobuf files into the Arm NN runtime.
For more information, a list of supported TensorFlow layers, and the networks that have been tested,
-please visit "Software Tools" -> "Parsers" -> "Arm NN TensorFlow Parser" in our doxygen documentation that can be found in
-the [wiki section](https://github.com/ARM-software/armnn/wiki/Documentation) of our github repository.
\ No newline at end of file
+please visit our [doxygen documentation](https://arm-software.github.io/armnn/latest/parsers.xhtml#S7_tf_parser).
\ No newline at end of file