Transfer Learning Considerations
Sebastian Ruder discusses the importance of similarity between the source and target tasks in transfer learning. He also explores the decision-making process for practitioners, including whether to update all parameters or keep them frozen, and the benefits of fine-tuning.In this clip
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Data Skeptic
Transfer Learning
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