A survey of deep learning methods and software tools for image classification and object detection

被引：80
作者：
Druzhkov P.N. [1 ]
Kustikova V.D. [1 ]
机构：
[1] Lobachevsky State University of Nizhni Novgorod, Institute of Information Technologies, Mathematics and Mechanics, Nizhni Novgorod
来源：
Pattern Recognition and Image Analysis | 2016年 / 26卷 / 1期
关键词：
autoencoder; convolutional neural networks; deep learning; image classification; object detection; restricted Boltzmann machine; sparse coding;
D O I：
10.1134/S1054661816010065
中图分类号：
学科分类号：
摘要：
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. © 2016, Pleiades Publishing, Ltd.
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页码：9 / 15
页数：6
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