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This document discusses Convolutional Neural Networks (CNNs) and their application in image processing and computer vision, highlighting their importance in various industries such as healthcare and autonomous vehicles. It explains the limitations of standard Artificial Neural Networks (ANNs) in handling image data, particularly the loss of spatial dependency and the excessive number of parameters. The document introduces filters and kernel matrices as solutions to preserve local correlations and efficientl

Author

Richa Kumari

Language

EN