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Related Questions
- What are the common activation functions used in deep neural networks and their characteristics?
- How does the ReLU activation function compare to the sigmoid function in terms of model generalizability?
- Can you explain the role of the leaky ReLU activation function in improving model performance and generalizability?
- What are the trade-offs between the swish activation function and other popular activation functions in terms of generalizability?
- How does the choice of activation function impact the model's ability to handle vanishing gradients during backpropagation?
- Can you discuss the impact of activation function selection on the model's ability to learn long-term dependencies in sequential data?
- What are some strategies for selecting the optimal activation function for a given problem and dataset in terms of generalizability?
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