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Related Questions
- What are the properties of the ReLU and tanh activation functions?
- How does the choice of activation function affect model capacity and risk of overfitting?
- Can you provide an example of when to choose ReLU over tanh, and vice versa, in a neural network design?
- How do the characteristics of the tanh activation function, such as its symmetry and value range, impact model behavior during training and inference?
- What are the time complexity implications of using tanh versus ReLU on training and inference times of large neural networks?
- Can you discuss some recent research on alternative activation functions, such as PReLU, LeakyReLU, and Swish, that offer improvements over traditional sigmoid and tanh functions?
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