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ResNet

concept · part of Convolutional Neural Network

ResNet is a pretrained convolutional neural network (CNN) trained on millions of general images. It possesses a deep understanding of visual features such as lines, curves, and textures. It is commonly used as a starting point for transfer learning in image-related tasks, such as medical imaging, where it can be fine-tuned on smaller domain-specific datasets.

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