Transfer learning stands as a powerful approach within the realm of deep neural networks. This paradigm entails leveraging pre-trained models, which have been trained on extensive datasets, to boost the training process for new tasks. By porting the learned representations from the source domain to the target domain, transfer learning mitigates the