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authorsurmeh01 <surabhi.mehta@arm.com>2018-06-11 17:12:45 +0100
committersurmeh01 <surabhi.mehta@arm.com>2018-06-11 17:12:45 +0100
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treeeeeacfa3f4d70a6bb4001b5c6b52630f7e90a6b2 /README.md
parent3537c2ca7ebf31c1673b9ec2bb0c17b0406bbae0 (diff)
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Release 18.05.01HEADmaster
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# Arm NN
-For more information about Arm NN, see: https://developer.arm.com/products/processors/machine-learning/arm-nn
+For more information about Arm NN, see: <https://developer.arm.com/products/processors/machine-learning/arm-nn>
-There is a getting started guide here: https://developer.arm.com/technologies/machine-learning-on-arm/developer-material/how-to-guides/configuring-the-arm-nn-sdk-build-environment
+There is a getting started guide here using TensorFlow: <https://developer.arm.com/technologies/machine-learning-on-arm/developer-material/how-to-guides/configuring-the-arm-nn-sdk-build-environment-for-tensorflow>
+
+There is a getting started guide here using Caffe: <https://developer.arm.com/technologies/machine-learning-on-arm/developer-material/how-to-guides/configuring-the-arm-nn-sdk-build-environment-for-caffe>
+
+### Build Instructions
+
+Arm tests the build system of Arm NN with the following build environments:
+
+* Android NDK: [How to use Android NDK to build ArmNN](BuildGuideAndroidNDK.md)
+* Cross compilation from x86_64 Ubuntu to arm64 Linux
+* Native compilation under arm64 Debian 9
+
+Arm NN is written using portable C++14 and the build system uses [CMake](https://cmake.org/) so it is possible to build for a wide variety of target platforms, from a wide variety of host environments.