Convolutional neural networks are extensively used in video classifications systems, which
uses video action recognition data set which consists of 13,320 videos grouped to 101 …

This paper describes the role and architecture of a convolutional neural networks. CNNs are
widely used in computer vision and natural language processing. In computer vision, it is …

This chapter gives an insight into Deep Learning Neural Networks and their application to
Image Classification/Pattern Recognition. The principle of Convolutional Neural Networks …

With the advent of technologies, real-time data is essentially required for future
development. Everyday, a huge amount of visual data is being collected, but to use it …

The convolutional neural network (CNN) is a multilayer network architecture that is capable
of training itself using an advanced algorithm to produce increasingly accurate results. The …

With the development of science and technology, the era of big data has followed, making
deep convolution neural networks richer in network structure. Compared with traditional …

With an increase in the speed of data generation, the widespread use of cameras for
automation and surveillance, and the need for visual feedback for artificially intelligent …

Since convolutional neural network (CNN) was first implemented by Yann LeCun et al. in
1989, CNN and its variants have been widely implemented to numerous topics of pattern …

AI consists of a large number of domains, but Machine Learning is the most prominent one.
Deep learning, a subset of machine learning, is now overtaking all the various prediction …