A survey of deep learning methods and software tools for image classification and object detection
- 作者: Druzhkov P.N.1, Kustikova V.D.1
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隶属关系:
- Lobachevsky State University of Nizhni Novgorod
- 期: 卷 26, 编号 1 (2016)
- 页面: 9-15
- 栏目: 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
如何引用文章
详细
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.
作者简介
P. Druzhkov
Lobachevsky State University of Nizhni Novgorod
编辑信件的主要联系方式.
Email: itlab.ml@cs.vmk.unn.ru
俄罗斯联邦, Nizhni Novgorod
V. Kustikova
Lobachevsky State University of Nizhni Novgorod
Email: itlab.ml@cs.vmk.unn.ru
俄罗斯联邦, Nizhni Novgorod
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