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Convolution Neural Network Learning Features for Handwritten Digit Recognition
Kayumov Z., Tumakov D.
© 2020 IEEE. The classical six-layer neural network is considered. This network is used
Solving the problem of sentiment analysis using neural network models
Akhmetgaliev A., Gafarov F., Sitdikova F.
of sentiment analysis based on neural network models of natural language processing. The methods are based
Analysis of verbal disorders with the help of neural networks
Menshakou, P. A.
of the speaker and neural network analysis of voice changes.
Artificial neural networks and deep learning
Konopelko, A. I.
The purpose of this paper is to study the principles of neural networks working and deep learning
Artificial intelligence and neural networks: promising future and new problems for humanity
Pozniak, V. M.
This paper considers modern technologies such as Artificial Intelligence (AI) and neural networks
The role of neural networks in cybersecurity system
Kulbako, A. S.
As you can see from the title this text is about the role of neural network in cybersecurity system
The use of neural networks in information security
Sedun, M. S., Nardinov, R. R.
This text provides an overview of the applications and benefits of neural networks and deep
A renaissance of neural networks in drug discovery
Baskin I., Winkler D., Tetko I.
© 2016 Informa UK Limited, trading as Taylor & Francis Group.Introduction: Neural networks
Neural network method of dynamic biometrics for detecting the substitution of computer
research the dynamic neural network method for biometric identification of computer users. We analyze
Object Detection in Aerial Photos Using Neural Networks
Ivanov E.S., Smirnov A.V., Tishchenko I.P., Vinogradov A.N.
The paper describes the method of objects detection on aerial photographs using neural networks

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