A convolutional neural network (CNN) is a type of deep neural network that is primarily used for image processing and classification. CNNs use a series of convolutional layers to extract features from an input image, and then use these features to classify the image into a specific category. CNNs consist of multiple layers, including convolutional layers, pooling layers, and fully connected layers. The convolutional layers use filters to extract features from the input image, while the pooling layers reduce the dimensionality of the extracted features. The fully connected layers use the extracted features to classify the image into a specific category.
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