Convolutional Neural Networks (CNN)
1. What type of data are Convolutional Neural Networks primarily designed to process?
2. Why are fully connected neural networks inefficient for image classification tasks?
3. In an RGB image, how many channels are present?
4. What is the primary purpose of a convolution filter in a CNN?
5. What is the output produced after applying a convolution operation called?
6. Why is the ReLU activation function commonly used in CNNs?
7. What is the main purpose of pooling layers in CNNs?
8. Which pooling technique selects the maximum value from a region?
9. What advantage does parameter sharing provide in CNNs?
10. Which task is CNNs most commonly used for?