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This is an Machine learning project which trains resnet and vgg architectures which limited amount of data. The purpose of the project is to compare fully trained models with its respective fine tuned models of timm model weights trained on imagenet 1M 1K.
sriharshapy/MLProjectSpring2024
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This is an Machine learning project which trains resnet and vgg architectures which limited amount of data. The purpose of the project is to compare fully trained models with its respective fine tuned models of timm model weights trained on imagenet 1M 1K.
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