CNN stands for Convolutional Neural Network, which is a type of neural network used in deep learning. It is especially well-suited for image and video recognition tasks.
In CNN, a set of filters are applied to the input image to extract different features from it. These feature maps are then fed into the next layer, where another set of filters extract higher-level features. This process is repeated until the last layer, where the output of the network is generated.
CNNs have been used in various applications, such as object detection, face recognition, medical imaging, and natural language processing. They have achieved state-of-the-art performance in many of these tasks and have become a popular tool in the field of machine learning and artificial intelligence.
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