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Related Questions
- What are the key differences between ReLU and tanh activation functions in neural networks?
- In what situations is ReLU preferred over tanh in a neural network design?
- How does the choice of activation function impact the learning process in a neural network?
- What are the potential drawbacks of using tanh in a neural network compared to ReLU?
- Can you provide an example of a neural network architecture where ReLU is preferred over tanh?
- How does the output range of ReLU and tanh affect the network's ability to learn?
- What are the implications of using ReLU versus tanh on the vanishing gradient problem in deep neural networks?
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