Transfer Learning in Deep Neural Networks

Transfer learning proffers as a powerful methodology within the realm of deep neural networks. This paradigm utilizes leveraging pre-trained models, which have been saturated on immense datasets, to enhance the training process for new tasks. By migrating the learned representations from the source domain to the target domain, transfer learning all

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