What is transfer learning
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Transfer learning is a machine learning technique where a pre-trained model developed for a specific task is used as a starting point for a new, related task. By leveraging the knowledge gained from the initial task, transfer learning accelerates training and enhances performance on the new task, making it a powerful and efficient approach in various domains of artificial intelligence.
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What is transfer learning
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