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Related Questions
- How do vanishing and exploding gradients affect the choice of activation functions in neural network architectures?
- What are some strategies to mitigate the issue of vanishing and exploding gradients in deep neural networks?
- Can you explain how the learning rate and momentum hyperparameters are impacted by vanishing and exploding gradients?
- How do vanishing and exploding gradients influence the selection of optimization algorithms, such as stochastic gradient descent (SGD) and Adam?
- What are the implications of vanishing and exploding gradients on the convergence speed and accuracy of neural networks?
- Can you discuss how the choice of weight initialization affects the likelihood of vanishing and exploding gradients?
- How do vanishing and exploding gradients impact the selection of regularization techniques, such as L1 and L2 regularization, and dropout?
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