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Related Questions
- What is the main objective of the Model-Agnostic Meta-Learning (MAML) algorithm?
- How does MAML enable few-shot learning, and what are its key components?
- What is the role of the inner loop and outer loop in the MAML algorithm?
- How does MAML update the model parameters to adapt to new tasks?
- What are the advantages of using MAML for few-shot learning compared to other meta-learning algorithms?
- Can you provide an example of a scenario where MAML is particularly useful for few-shot learning?
- How does MAML handle the trade-off between exploration and exploitation in few-shot learning?
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