Convolutional neural network

A convolutional neural network (CNN, or ConvNet) is an algorithm used by computers to see things in the real world. 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

↑ 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. pp. 21–35. doi:10.1016/B978-0-12-819764-6.00003-X. Retrieved April 13, 2021.

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[single-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. pp. 21–35. doi:10.1016/B978-0-12-819764-6.00003-X. Retrieved April 13, 2021.

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