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Related Questions
- How does the choice of activation function impact the vanishing gradient problem in deep neural networks?
- Can you explain the difference in convergence rates between ReLU and sigmoid activation functions in gradient descent?
- What are the implications of using a non-linear activation function on the convergence of gradient descent in terms of minimizing the loss function?
- How does the choice of activation function affect the stability of gradient descent in terms of oscillations and divergence?
- Can you discuss the role of activation functions in preventing the exploding gradient problem in deep neural networks?
- What are the key differences in convergence behavior between tanh and ReLU activation functions in gradient descent?
- How does the choice of activation function impact the convergence rate of gradient descent in terms of achieving a local minimum versus a global minimum?
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