How does the convolutional neural network (CNN) architecture work?

Could you explain how the architecture of a convolutional neural network (CNN) functions? I am interested in understanding its components, such as convolutional layers, pooling layers, and fully connected layers, as well as how they work together to process and analyze visual data effectively. Thank you for your insights.

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