A survey of deep learning methods and software tools for image classification and object detection
- Autores: Druzhkov P.N.1, Kustikova V.D.1
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Afiliações:
- Lobachevsky State University of Nizhni Novgorod
- Edição: Volume 26, Nº 1 (2016)
- Páginas: 9-15
- Seção: 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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Resumo
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.
Sobre autores
P. Druzhkov
Lobachevsky State University of Nizhni Novgorod
Autor responsável pela correspondência
Email: itlab.ml@cs.vmk.unn.ru
Rússia, Nizhni Novgorod
V. Kustikova
Lobachevsky State University of Nizhni Novgorod
Email: itlab.ml@cs.vmk.unn.ru
Rússia, Nizhni Novgorod
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