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authorAron Virginas-Tar <Aron.Virginas-Tar@arm.com>2019-08-21 12:33:12 +0100
committermike.kelly <mike.kelly@arm.com>2019-08-21 14:07:46 +0000
commit187fac00b338eb2de38c6a547136c689a7f0d522 (patch)
tree03d8afbc50ae2de3f0e12ed99fe061de5b5eaaf3 /src/armnnTfParser/TensorFlowSupport.md
parentccb25ea483747d4f7f319e0d3f1c9c6507931011 (diff)
downloadarmnn-187fac00b338eb2de38c6a547136c689a7f0d522.tar.gz
IVGCVSW-3507 Revise and update readmes for 19.08
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I3da43122240fda7864e0932d47b3efeea8bbed40
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diff --git a/src/armnnTfParser/TensorFlowSupport.md b/src/armnnTfParser/TensorFlowSupport.md
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--- a/src/armnnTfParser/TensorFlowSupport.md
+++ b/src/armnnTfParser/TensorFlowSupport.md
@@ -167,7 +167,7 @@ The parser does not support all forms of broadcasting [broadcast composition](ht
Arm tests these operators with the following TensorFlow fp32 neural networks:
-* Cifar10.
+* Cifar10
* Lenet
@@ -177,4 +177,10 @@ Arm tests these operators with the following TensorFlow fp32 neural networks:
* inception_v3. The Arm NN SDK only supports the official inception_v3 transformed model. See the TensorFlow documentation on [preparing models for mobile deployment](https://www.tensorflow.org/mobile/prepare_models) for more information on how to transform the inception_v3 network.
+* FCRN
+
+* FSRCNN
+
+* DeepSpeaker
+
More machine learning operators will be supported in future releases.