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README.md
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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
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This repository provides scripts to run Shufflenet-v2Quantized on Qualcomm® devices.
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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-v2Quantized found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/shufflenetv2.py).
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This repository provides scripts to run Shufflenet-v2Quantized on Qualcomm® devices.
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