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Lightweight Deep Neural Networks for Dense Crowd Counting EstimationIn this paper, productiveness problems of deep neural networks for dense crowd counting prediction

How do artificial neural networks work?This paper deals with the definition of artificial neural networks, principles of their operation

Gesture recognition based on convolutional neural networkThis topic uses convolutional neural network deep learning algorithm technology to design a gesture

Evolution of Artificial Neural NetworksThe history of artificial neural networks originates from the distant 1943, when Warren Mc

Exponential Discretization of Weights of Neural Network Connections in Pre-Trained Neural Network. Part II: Correlation Maximization after the neural network training without a subsequent post-training and compare our algorithm

Neural Network Models of Time Series of Network Traffic IntensitiesThe paper presents the results of building neural network predictive models of the occupancy

Video Sequence Filtering Based On Convolutional Neural NetworkVideo Sequence Filtering Based On Convolutional Neural Network

Training neural network for pattern recognitionThe article presents the problems connected with the subjects of neural networks: biological

Deep Neural Networks for Emotion Recognition methods. Deep convolutional neural networks and recurrent neural networks with bidirectional LSTM memory

Applying Neural Networks for the Identification of Control Object Mathematical Models for the Control Problems mathematical model of this control object. In the present study an artificial neural network is used

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