A convolutional neural network (CNN) is a type of deep learning model designed specifically for processing structured grid data, like images. CNNs utilize layers of convolutional filters to automatically extract features from input data, making them highly effective for tasks such as image recognition and classification. By leveraging spatial hierarchies in data, CNNs can capture complex patterns with less preprocessing compared to traditional machine learning methods.
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