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Convolutional Neural Networks (CNNs) are a type of deep learning model designed to process and analyse visual data. They are composed of convolutional layers, pooling layers, and fully connected layers, which work together to extract features from an image and classify them. CNNs have been used in a variety of computer vision tasks, such as image classification, object detection, semantic segmentation, and medical imaging, and have enabled the development of self-driving cars, facial recognition systems, and automated medical diagnosis.