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Автоматическое определение породы по фотографиям керна современными методами машинного обучения
Dyachkov, S. M., Yadryshnikova, O. A., Polyakov, D. V., Devyatka, N. P., Chermyanin, P. I., Dmitrievskiy, M. V., Дьячков, С. М., Ядрышникова, О. А., Поляков, Д. В., Девятка, Н. П., Чермянин, П. И., Дмитриевский, М. В.
identifiers and convolutional neural networks. The original sample contained photographs of core samples from
Hierarchical multispectral image classification based on self organized maps
Saveliev A., Dobrinin D.
, and it could not be solved in a common case. We propose a new approach, based on the artificial neural networks
О возможности применения сверточных нейронных сетей к построению универсальных атак на итеративные блочные шифры
Перов, Артем Андреевич, Пестунов, Андрей Игоревич
On possibility of using convolutional neural networks for creating universal attacks on iterative
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
VQA for response synthesis based on spatial actions
Kiselev G.A., Weizenfeld D.A., Gorbunova Y.M.
of combining the results of convolutional and recurrent networks and projection on a set of valid answers. A
Network attacks classification using Long Short-Term memory based neural networks in Software-Defined Networks
Volkov S.S., Kurochkin I.I.
of neural networks with various parameters on existing dataset is presented. CSE-CIC-IDS2018 dataset [12
Neural electrical activity and neural network growth
influence on growth in neural networks. In this work we propose a general framework for a theoretical
Development of recurrent neural networks
Wei, S. S.
The Recurrent neural network (RNN) has been the main implementation of neural network sequence
Artificial neural networks: advantages, challenges, applications
Izotova, A. S.
The article discusses the implementation of artificial neural networks as one of the most promising
The role of neural networks in data mining
Kupreichyk, A. S.
This article describes the role of neural networks in data processing and analysis

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