Which of the following is a common activation function used in CNNs?

Which of the following is a common activation function used in CNNs?

Step 1: Understand what an activation function is. It helps a neural network learn by introducing non-linearity.
Step 2: Learn about CNNs (Convolutional Neural Networks). They are used for image processing and recognition.
Step 3: Identify common activation functions. Some examples are Sigmoid, Tanh, and ReLU.
Step 4: Focus on ReLU (Rectified Linear Unit). It is defined as f(x) = max(0, x), meaning it outputs x if x is positive, otherwise it outputs 0.
Step 5: Recognize why ReLU is popular. It is simple to compute and helps with faster training of deep networks.

No concepts available.