Convolution

Convolution is a mathematical operation that is commonly used in signal processing and image processing. In the context of data science and artificial intelligence, convolution is used to extract features from input data. It involves sliding a filter over the input data and computing the dot product between the filter and the overlapping portion of the input data. The resulting output is a feature map that highlights the presence of certain patterns or features in the input data. Convolutional Neural Networks (CNNs) are a type of neural network that use convolutional layers to extract features from input data. They have been widely used in image recognition, natural language processing, and other applications.
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