A survey of deep learning methods and software tools for image classification and object detection
- Authors: Druzhkov P.N.1, Kustikova V.D.1
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Affiliations:
- Lobachevsky State University of Nizhni Novgorod
- Issue: Vol 26, No 1 (2016)
- Pages: 9-15
- Section: Representation, Processing, Analysis and Understanding of Images
- URL: https://journals.rcsi.science/1054-6618/article/view/194500
- DOI: https://doi.org/10.1134/S1054661816010065
- ID: 194500
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Abstract
Deep learning methods for image classification and object detection are overviewed. In particular we consider such deep models as autoencoders, restricted Boltzmann machines and convolutional neural networks. Existing software packages for deep learning problems are compared.
About the authors
P. N. Druzhkov
Lobachevsky State University of Nizhni Novgorod
Author for correspondence.
Email: itlab.ml@cs.vmk.unn.ru
Russian Federation, Nizhni Novgorod
V. D. Kustikova
Lobachevsky State University of Nizhni Novgorod
Email: itlab.ml@cs.vmk.unn.ru
Russian Federation, Nizhni Novgorod
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