Convolutional neural network

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]

Convolutional Neural Network Media

1D convolutional neural network feed forward example
Neural abstraction pyramid
CNN layers arranged in 3 dimensions
Input volume connected to a convolutional layer
typical CNN architecture
Max pooling with a 2x2 filter and stride = 2
RoI pooling to size 2x2. In this example region proposal (an input parameter) has size 7x5.

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: 21–35. doi:10.1016/B978-0-12-819764-6.00003-X. ISBN 9780128197646. S2CID 226729462. 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: 21–35. doi:10.1016/B978-0-12-819764-6.00003-X. ISBN 9780128197646. S2CID 226729462. Retrieved April 13, 2021.

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