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# ResNet: Deep Residual Learning for Image Recognition
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ResNet introduced the concept of residual blocks and is one of the most preferred architectures for feature extraction, image classification, object detection, segmentation, and other tasks. The Core ML models in this repository correspond to the ResNet-50 variant for image classification.
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## Models
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# ResNet: Deep Residual Learning for Image Recognition
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ResNet introduced the concept of residual blocks and is one of the most preferred architectures for feature extraction, image classification, object detection, segmentation, and other tasks. The Core ML models in this repository correspond to the ResNet-50 variant for image classification.
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## Models
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