This repository focuses on using ImageNet pre-trained models for transfer learning in image classification tasks. It provides code and pre-trained weights for popular architectures like ResNet, VGG, and InceptionV3. The project is aimed at improving performance on custom datasets by leveraging pre-trained models and fine-tuning them with limited labeled data.
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