… overview of artificial neural network. The artificial neural network learns by updating the
network architecture and connection weights so that the network can efficiently perform a task. It …

… , convolutional neural network, recurrent neural network or … , deep belief networks, generative
adversarial network, deep … overview from the perspective of these neural networks and …

… In this paper, we have reviewed the fundamental architecture of the convolutional neural
network. … Finally, we have described several applications of the convolutional neural network. …

… The two neural networks are both feedforward perceptrons, and … The output generated
by a siamese neural network … In this overview we first describe the siamese neural network …

… For perception, scientists found that a neural network was the … on it shows that the neural
network system for machines could … Our neural network is just working on a new image during …

… standard for efficient compression of neural networks (NNs). … together with external neural
network formats and frameworks. … This paper provides an overview of the technical features …

… Therefore, it is beneficial to provide a thorough overview of the DNN … This paper presents a
systematic overview of DNN … In this work, we illustrate the overview of existing approaches on …

… “Video Tagging” have been using Recurrent Neural Networks as the foundation for their …
overview over some of the most important concepts in the realm of Recurrent Neural Networks …

… Second, we provide an overview of various convolutions. Third, some classic and
advanced CNN models are introduced; especially those key points making them reach state-of-the-art …

Abstract Knowledge is a formal way of understanding the world, providing human-level
cognition and intelligence for the next-generation artificial intelligence (AI). An effective way to …