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Reading of printed text using deep neural networks

Authors :
Marković, Luka
Subašić, Marko
Publication Year :
2019
Publisher :
Sveučilište u Zagrebu. Fakultet elektrotehnike i računarstva., 2019.

Abstract

U ovom završnom radu opisano je kako funkcioniraju neuronske mreže i dan je uvid u njihovu arhitekturu. Konvolucijske neuronske mreže su detaljnije opisane jer su se koristile u izradi rada. Detaljno su opisani konvolucijski i potpuno povezani sloj. U radu je detaljno opisan sustav za prepoznavanje i klasifikaciju slika, YOLO (You only look once). Nakon teoretskog uvoda navedeno je kako koristiti sustav i pokazani su primjeri proizišli iz testiranja neuronske mreže. Slike prikazuju kako dobru klasifikaciju tako i greške i poteškoče na koje nailazi sustav. This paper describes how neural networks work and gives insight into their architecture. Convolution Neural Networks are described in more detail because they were used for this paper. A convolutional and fully-connected layer is described in detail. This paper describes the system for recognizing and classifying images, YOLO (you only look once). After the theoretical introduction, it was stated how to use the system and demonstrated examples derived from the testing of neural network. The pictures show how good the classification is but also the mistakes and difficulties faced by the system.

Details

Language :
Croatian
Database :
OpenAIRE
Accession number :
edsair.od......4131..d3744934fdaaef830e72576d5e2f5b7c