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Related Questions
- What are the different types of activation functions used in neural networks, and how do they impact model complexity?
- How does the choice of activation function affect the vanishing gradient problem in deep neural networks?
- Can you explain the concept of 'activation function' and its role in determining the output of a neuron in a neural network?
- How does the activation function influence the learning rate and convergence of a neural network during training?
- What are the advantages and disadvantages of using ReLU, Sigmoid, and Tanh activation functions in neural networks?
- How does the choice of activation function impact the generalization ability of a neural network on unseen data?
- Can you discuss the relationship between activation function and model capacity, and how it affects the ability of a neural network to learn complex patterns in data?
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