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What is Convolutional neural network?
How does a CNN work differently from other neural networks?
CNNs apply operations called convolutions in their layers, which allow them to learn spatial relationships between pixels in an image. These convolutions are followed by pooling layers, which reduce the dimensionality of the output, making it easier for the network to learn and making the model less prone to overfitting.