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Artificial neural networks and deep learningThe purpose of this paper is to study the principles of neural networks working and deep learning
The power of deep learning to ligand-based novel drug discovery networks, recurrent neural networks, and several types of autoencoders. Several kinds of learning
Preparing Elementary School Teachers to Conduct Diagnostic Testing of the Elementary School Children Development. to evaluate the development of elementary school children. The article deals with methodological, theoretical
Conceptual approaches to the identification of teachers’ digital competence: cognitive modelling conduct online learning, while the average in Russia is 25%. However, the common problem across all
A renaissance of neural networks in drug discovery© 2016 Informa UK Limited, trading as Taylor & Francis Group.Introduction: Neural networks
Applications of ultrasonic testing and machine learning methods to predict the static & fatigue behavior of spot-welded joints is to provide a new methodology for static strength and fatigue life assessment of three-sheets RSW joints based
Analyzing Key Tools for Digital Transformation of Educational and Scientific Organizations the preparation of people, able to learn and retrain without spending much time on this. This article analyzes
AI development basen on neural network for Sea Battle game paradigms for neural networks. The Q-learning algorithm and its application for the development of gaming
Detecting anomalies in network traffic using machine learning techniquesThe problem of anomaly detection in network traffic using machine learning and neural network
NON-FORMAL CONTENT AND LANGUAGE INTEGRATED LEARNING: TOWARDS STUDENT'S ASSESSMENT METHODOLOGY of the non-formal content and language integrated learning (further on use as CLIL) of university nonlanguage
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