Transfer learning emerges as a powerful technique within the realm of deep neural networks. This concept utilizes leveraging pre-trained models, which have been trained on massive datasets, to boost the training process for new tasks. By transferring the learned representations from the source domain to the target domain, transfer learning mitigate