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authorKshitij Sisodia <kshitij.sisodia@arm.com>2021-12-24 11:05:11 +0000
committerLiam Barry <liam.barry@arm.com>2021-12-24 14:20:36 +0000
commit76a1580861210e0310db23acbc29e1064ae30ead (patch)
treef947145cffd944aa3724c90745fc0e9d8e2fb2f4 /docs/documentation.md
parent871fcdc755173b9f7ecb8cf9dc8dc6306329958c (diff)
downloadml-embedded-evaluation-kit-76a1580861210e0310db23acbc29e1064ae30ead.tar.gz
MLECO-2599: Replace DSCNN with MicroNet for KWS
Added SoftMax function to Mathutils to allow MicroNet to output probability as it does not nativelu have this layer. Minor refactoring to accommodate Softmax Calculations Extensive renaming and updating of documentation and resource download script. Added SoftMax function to Mathutils to allow MicroNet to output probability. Change-Id: I7cbbda1024d14b85c9ac1beea7ca8fbffd0b6eb5 Signed-off-by: Liam Barry <liam.barry@arm.com>
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@@ -211,7 +211,7 @@ What these folders contain:
The models used in the use-cases implemented in this project can be downloaded from: [Arm ML-Zoo](https://github.com/ARM-software/ML-zoo).
- [Mobilenet V2](https://github.com/ARM-software/ML-zoo/tree/e0aa361b03c738047b9147d1a50e3f2dcb13dbcb/models/image_classification/mobilenet_v2_1.0_224/tflite_int8)
-- [DS-CNN](https://github.com/ARM-software/ML-zoo/tree/68b5fbc77ed28e67b2efc915997ea4477c1d9d5b//models/keyword_spotting/ds_cnn_large/tflite_clustered_int8)
+- [MicroNet for Keyword Spotting](https://github.com/ARM-software/ML-zoo/tree/9f506fe52b39df545f0e6c5ff9223f671bc5ae00/models/keyword_spotting/micronet_medium/tflite_int8)
- [Wav2Letter](https://github.com/ARM-software/ML-zoo/tree/1a92aa08c0de49a7304e0a7f3f59df6f4fd33ac8/models/speech_recognition/wav2letter/tflite_pruned_int8)
- [MicroNet for Anomaly Detection](https://github.com/ARM-software/ML-zoo/tree/7c32b097f7d94aae2cd0b98a8ed5a3ba81e66b18/models/anomaly_detection/micronet_medium/tflite_int8)
- [MicroNet for Visual Wake Word](https://github.com/ARM-software/ML-zoo/raw/7dd3b16bb84007daf88be8648983c07f3eb21140/models/visual_wake_words/micronet_vww4/tflite_int8/vww4_128_128_INT8.tflite)