Convolutional Neural Networks (CNNs) are a specialized type of artificial neural network designed for processing structured grid data, most commonly images. They are particularly effective in computer vision tasks as they can automatically and adaptively learn spatial hierarchies of features from images, which allows for efficient and accurate image recognition, classification, and detection. CNNs leverage layers of convolutional filters to extract features from the input data, leading to their widespread use in applications such as facial recognition and object detection.
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