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Convolutional neural networks (CNNs) are a type of neural network used for processing grid-like data such as images. CNNs have an input layer, multiple hidden layers, and an output layer. The hidden layers typically include convolutional layers that extract features, pooling layers that reduce dimensionality, and fully connected layers similar to regular neural networks. CNNs are commonly used for computer vision tasks like image classification and object detection due to their ability to learn spatial hierarchies of features in the data. They have applications in areas like facial recognition, document analysis, and climate modeling.






























