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What is transfer learning ?
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Answer / Dityanand Kharwar
Transfer learning is a technique where a pre-trained neural network (often on a large dataset) is taken and fine-tuned for use in a different but related problem. This can significantly reduce the amount of data required to train an accurate model.
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