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What is Understanding Convolutional Neural Networks about?

Convolutional Neural Networks (CNNs) are a type of deep learning model primarily used for analyzing visual imagery through a process called convolution, which reduces images to a more manageable form while preserving critical features. They consist of multiple layers that perform feature extraction and classification, leveraging artificial neurons to process input data. Despite their advantages in automating feature learning and recognizing patterns, CNNs face limitations such as high computational demands,

Author

rajkumar.pati2003

Language

EN