ODT - THESIS TOPIC: Samad Dadvandipour: Convolutional networks for Pattern ...


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Thesis topic proposal

Convolutional networks for Pattern Recognition of Image data

THESIS TOPIC PROPOSAL

Institute: University of Miskolc
computer sciences
JÓZSEF HATVANY DOCTORAL SCHOOL FOR COMPUTER SCIENCE AND ENGINEERING

Thesis supervisor: Samad Dadvandipour
Location of studies (in Hungarian): Informatikai Intézet
Abbreviation of location of studies: INF

Description of the research topic:

With the growth of Convolutional Neural Networks (CNN) for pattern recognition along with the graphics processing unit (GPU) supporting, we can realize the solution to some problems. It means that those problems which thought impossible to solve with Artificial Neural Networks now become computationally practical. Convolutional Neural Networks for Pattern Recognition of Image Data is a learning structure that comprises multiple layers for computations that use convolution operations. The inputs of the system are transformed sequentially, applying the convolution networks into the best enlightening image to solve the existing problems.

Deadline for application: 2021-02-01

2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).