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Deep learning approaches to biomedical image segmentationThe review considers automatic image segmentation using deep learning methods in the field

Robust Estimation of VANET Performance-Based Robust Neural Networks Learning fields. Neural networks are usually trained by conventional backpropagation learning algorithm

Classification of networks in higher education: A marketing analysis of the club of ten (Russia) methodological criteria for such an assessment. These methods were tested on findings from the network

Machine learning methods in computational toxicology
forest, several types of neural networks, and deep learning is the focus of attention of this review

PRACTICAL ASPECTS OF COMPUTER IMPLEMENTATION OF MACHINE LEARNING METHODSThis paper discusses various frameworks for working with neural networks. Choosing the right

Algorithm of the multilayer artificial feed-forward neural network learningThe algorithm of the multilayer feed-forward neural network learning is developed. The algorithm

Gamification as a Growing Trend in Higher Education: Prospects and Problems of gamified learning, the use of artificial intelligence technologies, neural networks, the use of learning

Machine Learning Methods and Models for Recognizing Lung Inhomogeneity from Computed Tomography ScansThe article considers the use of deep neural networks for the recognition of lungs inhomogeneity

The study of artificial neural networks on the example of a neural network for the game of TIC-TAC-toeThis paper discusses the main types of neural networks, their architecture and features. A task

The Effectiveness of Educational Services: an Approach to the Assessment of the Quality based on a competent format requires the development of methodological support for assessing the mastery

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