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Related Questions
- What are activation functions and why are they crucial in neural networks?
- How do activation functions like ReLU and sigmoid handle vanishing and exploding gradients?
- What are the differences between the tanh, ReLU, and Leaky ReLU activation functions in terms of gradient flow?
- Can you explain how the choice of activation function affects the convergence of gradient descent?
- How do optimization algorithms like Adam and RMSProp handle vanishing and exploding gradients?
- What is the relationship between the learning rate and the vanishing/exploding gradient problem?
- Can you discuss the impact of vanishing and exploding gradients on the selection of optimization algorithms and hyperparameters?
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