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authorIsabella Gottardi <isabella.gottardi@arm.com>2021-05-07 11:57:30 +0100
committerKshitij Sisodia <kshitij-sisodia-arm@review.mlplatform.org>2021-05-19 08:49:10 +0000
commit958133d49b121e997b63ad81f96db90fdd2a3e45 (patch)
treeb658654353c15a75f67df8c85a1cf6404fd3c8a7 /docs/documentation.md
parentafb0963b9d4413a398ebaa0185db88d88295e954 (diff)
downloadml-embedded-evaluation-kit-958133d49b121e997b63ad81f96db90fdd2a3e45.tar.gz
MLECO-1913: Documentation update: helper scripts and AD use case model update
Change-Id: I610b720146b520fe8633d25255b97df647b99ef5 Signed-off-by: Isabella Gottardi <isabella.gottardi@arm.com>
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@@ -185,7 +185,7 @@ from [Arm ML-Zoo](https://github.com/ARM-software/ML-zoo/).
- [Mobilenet V2](https://github.com/ARM-software/ML-zoo/blob/master/models/image_classification/mobilenet_v2_1.0_224/tflite_uint8).
- [DS-CNN](https://github.com/ARM-software/ML-zoo/blob/master/models/keyword_spotting/ds_cnn_large/tflite_clustered_int8).
- [Wav2Letter](https://github.com/ARM-software/ML-zoo/blob/master/models/speech_recognition/wav2letter/tflite_int8).
-- Anomaly Detection (coming soon).
+- [Anomaly Detection](https://github.com/ARM-software/ML-zoo/raw/7c32b097f7d94aae2cd0b98a8ed5a3ba81e66b18/models/anomaly_detection/micronet_medium/tflite_int8/ad_medium_int8.tflite).
When using Ethos-U55 NPU backend, the NN model is assumed to be optimized by Vela compiler.
However, even if not, it will fall back on the CPU and execute, if supported by TensorFlow Lite Micro.