What are activation functions in CNN?
An example of an AI chatbot conversation about activation functions in convolutional neural networks.
What are activation functions in CNN?
Activation functions in CNNs introduce non-linearity into the model, allowing it to learn complex patterns.
Can you give me examples of common activation functions used in CNNs?
Sure! Common activation functions include ReLU, Sigmoid, and Tanh. ReLU is particularly popular for its efficiency.
Why is ReLU preferred over Sigmoid in many cases?
ReLU helps mitigate the vanishing gradient problem, allowing for faster training and better performance in deep networks.
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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