Which activation function is commonly used in CNNs?

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Question: Which activation function is commonly used in CNNs?

Options:

Correct Answer: ReLU

Solution:

ReLU (Rectified Linear Unit) is commonly used in CNNs due to its ability to introduce non-linearity while being computationally efficient.

Which activation function is commonly used in CNNs?

Which activation function is commonly used in CNNs?

Step 1: Understand what an activation function is. It helps a neural network learn complex patterns by adding non-linearity.
Step 2: Learn about CNNs (Convolutional Neural Networks). They are used for image processing and recognition.
Step 3: Identify common activation functions. There are several, but we will focus on ReLU.
Step 4: Know what ReLU stands for. It means Rectified Linear Unit.
Step 5: Understand how ReLU works. It outputs the input directly if it is positive; otherwise, it outputs zero.
Step 6: Recognize why ReLU is popular. It is simple to compute and helps the network learn faster.

No concepts available.