CONVOLUTIONAL NEURAL NETWORKS: CHALLENGES AND TRENDS

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Hasanpour Seyyed Hossein; Saadati Reza

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Seminar Paper

Paper Information

Seminar: NATIONAL CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING
Year:2016 | Issue:3

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Title

CONVOLUTIONAL NEURAL NETWORKS: CHALLENGES AND TRENDS

Author(s)

Hasanpour Seyyed Hossein | Saadati Reza

Keywords

CONVOLUTIONAL NEURAL NETWORK

DEEP LEARNING

COMPUTER VISON

MACHINE LEARNING

Abstract

CONVOLUTIONAL NEURAL NETWORK HAS GAINED ENORMOUS SUCCESS IN RECENT YEARS, AND IS ONE OF THE MOST POPULAR DEEP LEARNING ALGORITHMS THAT HAS BEEN EXTENSIVELY USED IN MANY MACHINE LEARNING RELATED FIELDS. THE SUCCESS AND DIFFERENT APPLICATIONS OF CNN HAVE BEEN STUDIED AND ADDRESSED IN MANY STUDIES IN THE LITERATURE, HOWEVER, SOME ASPECTS WHICH INTERESTINGLY ARE VERY IMPORTANT ARE EITHER LESS WORKED ON OR IGNORED COMPLETELY. IN THIS PAPER WE STUDY AND ADDRESS SOME OF THE ASPECTS AND RESPECTIVE TRENDS THAT AFFECT THE APPLICATION OF CNN IN VARIOUS FIELDS.

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APA: Copy

Hasanpour, Seyyed Hossein, & Saadati, Reza. (2016). CONVOLUTIONAL NEURAL NETWORKS: CHALLENGES AND TRENDS. NATIONAL CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (DISTRIBUTED SYSTEM AND SMART GRIDS). SID. https://sid.ir/paper/940771/en

Vancouver: Copy

Hasanpour Seyyed Hossein, Saadati Reza. CONVOLUTIONAL NEURAL NETWORKS: CHALLENGES AND TRENDS. 2016. Available from: https://sid.ir/paper/940771/en

IEEE: Copy

Seyyed Hossein Hasanpour, and Reza Saadati, “CONVOLUTIONAL NEURAL NETWORKS: CHALLENGES AND TRENDS,” presented at the NATIONAL CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (DISTRIBUTED SYSTEM AND SMART GRIDS). 2016, [Online]. Available: https://sid.ir/paper/940771/en

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