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Data Scarcity - How transfer learning deals with the scarcity of data?


Transfer Learning effectively mitigates the issue of data scarcity by providing the model with prior knowledge. This enables it to master new tasks even with fewer examples. For example, a model that has been pre-trained on a large dataset of animals can efficiently learn to identify a specific breed of dogs even with a smaller dataset.