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Transfer Learning: Conceptual Framework

  • Transfer learning: Extract knowledge from one or more source tasks and apply the knowledge to a target task
  • Traditional learning: Build a new classifier for each new task
  • Transfer learning: Build new classifier by applying existing knowledge learned from source tasks

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