Deep Neural Networks: Selected Aspects of Learning and Application-Reference-Cited by-同舟云学术

Deep Neural Networks: Selected Aspects of Learning and Application

Published:2021-01 Issue:1 Volume:31 Page:132-143
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Golovko V. A.,Kroshchanka A. A.,Mikhno E. V.

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1134/S1054661821010090.pdf

Reference27 articles.

1. A. Krizhevsky, L. Sutskever, and G. Hinton, “ImageNet classification with deep convolutional neural networks,” in Proc. of the Intern. Conf. Advances in Neural Inform., Processing Systems (NIPS-2012) (Lake Tahoe, 2012), No. 25, pp. 1090–1098.

2. Y. LeCun, Y. Bengio, and G. Hinton, “Deep learning,” Nature 521, 436–444 (2015).

3. T. Mikolov et al., “Strategies for training large scale neural network language models,” in Proc. 2011 IEEE Workshop Automatic Speech Recognition and Understanding (Waikoloa, 2011), pp. 195–201.

4. G. Hinton et al., “Deep neural network for acoustic modeling in speech recognition,” IEEE Signal Process. Mag. 29, 82–97 (2012).

5. Y. Bengio, “Learning deep architectures for AI,” Found. Trends Mach. Learn. 2 (1), 1–127 (2009).

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