Can ReLU be used in Convolutional Networks?
An example of an AI chatbot conversation about using ReLU in convolutional networks.
Can ReLU be used in convolutional networks?
Yes, ReLU (Rectified Linear Unit) is commonly used as an activation function in convolutional networks.
What are the advantages of using ReLU over other activation functions?
ReLU helps mitigate the vanishing gradient problem and allows models to converge faster.
Are there any drawbacks to using ReLU?
Yes, ReLU can suffer from the 'dying ReLU' problem where neurons can become inactive and stop learning.
What are some alternatives to ReLU?
Alternatives include Leaky ReLU, Parametric ReLU, and ELU, which address some of ReLU's limitations.
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