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Related Questions
- How does the choice of loss function impact a model's ability to adapt to new data and changing environments?
- Can you explain the relationship between loss function and the model's capacity for knowledge retention and recall?
- What are some common loss functions used in deep learning that facilitate lifelong learning?
- How does the choice of loss function influence the model's ability to generalize to new tasks and domains?
- Can you compare and contrast the use of mean squared error and cross-entropy loss functions in lifelong learning scenarios?
- What role does the choice of loss function play in preventing catastrophic forgetting and maintaining model performance over time?
- Can you discuss the impact of regularization techniques, such as L1 and L2 regularization, on a model's capacity for lifelong learning?
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