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A Convolutional Neural Network (CNN) is a type of deep learning model specially designed for processing grid-like data, such as images. CNNs use convolutional layers to automatically detect and learn spatial hierarchies in data—such as edges, textures, shapes, and objects. This architecture is highly effective for tasks like image classification, object detection, facial recognition, and video analysis. CNNs are composed of multiple layers, including convolutional layers, pooling layers, and fully connected layers, enabling them to extract and interpret complex visual patterns with high accuracy.
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