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What is Why Convolution about?

Convolutional Neural Networks (CNNs) excel in image processing due to their ability to preserve local information and learn localized features through kernels with learnable parameters. Unlike traditional feed-forward networks that flatten images, CNNs maintain the spatial structure of images, allowing for effective classification regardless of object location. This architecture reduces the number of required parameters, saving memory and computational resources while exploiting symmetries and invariances i

Author

shahashrafi1904

Language

EN