CNN
CNN (Convolutional Neural Network) is a type of deep learning algorithm that is commonly used for image and video recognition tasks. It is inspired by the structure of the human visual system and is designed to automatically and adaptively learn spatial hierarchies of features from input data. CNNs consist of multiple layers of interconnected nodes, including convolutional layers, pooling layers, and fully connected layers. Convolutional layers apply a set of filters to the input data to extract features, while pooling layers downsample the output of the convolutional layers to reduce the dimensionality of the data. Fully connected layers then use the extracted features to classify the input data into different categories. CNNs have achieved state-of-the-art performance in a wide range of computer vision tasks, including object recognition, face recognition, and image segmentation.
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