Explain the key components of a Convolutional Neural Network. What is the purpose of convolutional layers, pooling layers, and filters?

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Convolutional Neural Networks are specialized architectures designed for processing grid-structured data, particularly images. They use specific layer types that exploit the spatial structure of visual data to learn hierarchical features efficiently.