Python for Deep Learning - Build Neural Networks in Python - Components of Convolutional Neural Networks

The video tutorial explains the CNN model, which operates in two main steps: feature extraction and classification. Feature extraction involves applying various filters and layers to an image to extract information and features. Once extracted, these features are classified based on the target variable of the problem. A typical CNN model consists of an input layer, convolution layer with an activation function, pooling layer, and a fully connected layer.

Describe the typical structure of a CNN model.

What roles do the convolution layer and activation function play in a CNN?