Using the big data and deep learning algorithms for Unmanned Vehicle

邀请人：马万经 教授

时间：2016年09月23日（周五）10:00一11:30

地点：交通运输工程学院103会议室

主讲人简介

   Kushnazarov Farruh works as a teaching/research assistant in Emperor Alexander I St. Petersburg State Transport University (PSTU), Russia. He was qualified in Maître de Conférences (Assistant/Associate Professor) by Tashkent Railway Institute of Engineers in Uzbekistan.He graduated with a Ph.D. degree from PSTU, and has published 7 SCI (Russia) papers and 3 IEEE/Springer (1 revised) international conference (EI) papers as first author.

主讲内容简介

   The human brain is a biologically inspired class of algorithms that process the information network of primitive computational elements.

   Deep learning is an effective technology to build a multilayer neural network architectures, and their applications in a wide class of problems. Deep learning is used for speech recognition, image analysis, video analysis and behavior prediction text processing machine translation.

   Used static data processing has several disadvantages like high labor costs for developing specialized data processing systems.Using deep learning neural networks achieved low labor costs due to the versatility of the algorithms, the ease of adaptation when you change the structure of the data, more data volume, reliable data.

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