Sketch Classification with Neural Networks : A Comparative Study of CNN and RNN on the Quick, Draw! data set

Sketch Classification with Neural Networks : A Comparative Study of CNN and RNN on the Quick, Draw! data set

The aim of the study is to apply and compare the performance of two different types of neural networks on the Quick, Draw! dataset and from this determine whether interpreting the sketches as sequences gives a higher accuracy than interpreting them as pixels. The two types of networks constructed we...

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Bibliographic Details
Main Authors: Andersson, Melanie, Maja, Arvola, Hedar, Sara
Format: Others
Language:English
Published: Uppsala universitet, Institutionen för teknikvetenskaper 2018
Subjects:
Artificial intelligence
CNN
image classification
machine learning
neural networks
RNN
sketch classification
supervised learning
Quick
Draw!
Engineering and Technology
Teknik och teknologier
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353504

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353504

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