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README.md
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InceptionNetV3 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. This model is post-training quantized to int8 using samples from Google's open images dataset.
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This model is an implementation of
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This repository provides scripts to run Inception-v3-Quantized on Qualcomm® devices.
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InceptionNetV3 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. This model is post-training quantized to int8 using samples from Google's open images dataset.
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This model is an implementation of Inception-v3-Quantized found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/inception.py).
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This repository provides scripts to run Inception-v3-Quantized on Qualcomm® devices.
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