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  # Shufflenet-v2: Optimized for Mobile Deployment
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  ## Imagenet classifier and general purpose backbone
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  ShufflenetV2 is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.
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- This model is an implementation of Shufflenet-v2 found [here]({source_repo}).
 
 
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  This repository provides scripts to run Shufflenet-v2 on Qualcomm® devices.
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  More details on model performance across various devices, can be found
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  [here](https://aihub.qualcomm.com/models/shufflenet_v2).
 
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  # Shufflenet-v2: Optimized for Mobile Deployment
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  ## Imagenet classifier and general purpose backbone
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  ShufflenetV2 is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.
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+ This model is an implementation of Posenet-Mobilenet found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/shufflenetv2.py).
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  This repository provides scripts to run Shufflenet-v2 on Qualcomm® devices.
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  More details on model performance across various devices, can be found
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  [here](https://aihub.qualcomm.com/models/shufflenet_v2).