Convolutional neural network

A class of deep neural networks, most commonly applied to analyzing visual imagery.

[1]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.[2]

ReferencesEdit

  1. "What are Convolutional Neural Networks (CNN)? | Data Basecamp". 2021-11-28. Retrieved 2022-06-15.
  2. 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.