What is ReLU?
An example of an AI chatbot conversation about the ReLU activation function in neural networks.
What is ReLU?
ReLU stands for Rectified Linear Unit. It's an activation function used in neural networks.
How does ReLU work?
ReLU outputs the input directly if it's positive; otherwise, it outputs zero. This helps with non-linearity.
What are the advantages of using ReLU?
ReLU is computationally efficient, helps mitigate the vanishing gradient problem, and promotes sparsity in activations.
Are there any drawbacks to using ReLU?
Yes, one drawback is the 'dying ReLU' problem, where neurons can become inactive and stop learning.
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