Certified Nephrology Nurse Exam

What is the main purpose of using the ReLU (Rectified Linear Unit) activation function in the hidden layers of a CNN?

To normalize the output of the layer to have a mean of zero. To convert the output into a probability distribution for classification. To introduce non-linearity, allowing the network to learn more complex patterns. To significantly increase the number of parameters for better feature extraction.

Correct Answer:

To introduce non-linearity, allowing the network to learn more complex patterns.

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