What is a Convolutional Neural Network (CNN) and how does it extract features from images?

CNNs are neural networks designed to process grid-like data such as images by learning spatial hierarchies of features using convolutional filters.

Convolutional Neural Networks (CNNs) revolutionized computer vision by enabling automatic feature extraction from raw pixels.

Core idea: Instead of manually designing features, CNNs learn filters that detect patterns such as edges, textures, and shapes.

Key components:

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