Introduction to Transfer Learning: What It Is and How It Works
Transfer learning is a machine learning technique where a model developed for one task is reused as the starting point for a model on a second task. It is particularly useful in artificial intelligence (AI) when we have limited data for a new task but have a substantial amount of data for a related task.
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