Convolutional neural network

From Simple English Wikipedia, the free encyclopedia

A convolutional neural network (CNN, or ConvNet) is a program used by computers to see things in the real world. A camera or other system takes a picture, and the computer uses the CNN to tell what the picture is or means. It is part of deep learning. Models that work with spatial data, for example images and video, use convolutional neural networks. People use convolutional neural networks with vehicles that drive and steer themselves, medical imaging, and in computer vision and deep learning.[1]

References[change | change source]

  1. P.Gopika; C.S.Krishnendu; M. Hari Chandana; S. Ananthakrishnan; V.Sowmya; E.A. Gopalakrishnan; K.P. Soman (2020). "Chapter two - Single-layer convolution neural network for cardiac disease classification using electrocardiogram signals". Deep Learning for Data Analytics: Foundations, Biomedical Applications, and Challenges: 21–35. doi:10.1016/B978-0-12-819764-6.00003-X. ISBN 9780128197646. S2CID 226729462. Retrieved April 13, 2021.