A Survey on the Layers of Convolutional Neural Networks

The field of computer vision has seen a significant development by used Convolutional Neural Networks. Recognize for objects are the essential parts of a computer vision. The detection stage and the classification stage can be implemented one step using Convolutional Neural Networks. The detection and classification for objects must be using monitoring this object temporal and spatial transforming in a sequence the video, shape, with presence, size and location etc. This paper provides a brief overview of the various the layers of Convolutional Neural Networks algorithms presented in the literature, containing comparative and analysis study of different techniques used for different stages.