Utilizing different skin imaging datasets, the technique trains itself using machine learning technologies. The goal of this procedure is to improve the diagnosis of skin diseases. In this paper ,We used the skin disease dataset to train the EfficientNets B0-B7. In order to assess the impact of transfer learning with fine-tuning, we assessed the performance of each EfficientNet variation on an unbalanced multiclass classification task Inspiration
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