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Hello everyone, I'm working on task 3 of the ISIC 2018 challenge using the ResNet50 model, along with incorporating dropout layers, regularization, and implementing data augmentation. However, the highest accuracy I've achieved so far is only 76%. I want to improve it so that my model achieves a performance of >= 80%. Can someone please help me with this? Thanks to everyone in advance.
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