What is convolution neural network algorithm?

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Convolutional neural network (CNN) is a deep learning algorithm commonly used for image recognition and classification.

CNN is designed to automatically and adaptively learn spatial hierarchies of features from input data.
It uses convolutional layers to apply filters to input data, extracting features at different spatial locations.
Pooling layers are used to reduce the spatial dimensions of the input data while retaining important information.
CNNs are commonly used in computer vision tasks such as image classification, object detection, and image segmentation.
Popular CNN architectures include LeNet, AlexNet, VGG, GoogLeNet, and ResNet.

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