A convolutional neural network (CNN) is a type of artificial neural network that is commonly used in computer vision tasks. It is specifically designed to process data that has a grid-like structure, such as an image. A CNN works by applying a series of filters to the input data, which can extract and learn spatial and temporal features from the data. These filters are typically organized in multiple layers, with each layer learning increasingly complex features. The output of a CNN can be used for tasks such as image classification, object detection, and semantic segmentation.
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