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Related Questions
- How does the choice of activation function impact the learning rate of the model during gradient descent?
- Can you explain the relationship between activation functions and vanishing or exploding gradients in deep neural networks?
- How does the choice of activation function affect the convergence of gradient descent in terms of minimizing the loss function?
- What are some common activation functions used in deep learning and how do they affect the convergence of gradient descent?
- Can you compare the performance of ReLU and sigmoid activation functions in terms of convergence speed and stability?
- How does the choice of activation function impact the robustness of the model to overfitting and underfitting?
- Can you discuss the role of activation functions in preventing the 'dying ReLU' problem and its impact on convergence?
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