MODERN LEARNING TECHNIQUES AND PLANT IMAGE CLASSIFICATION

Year 2020, , 153 - 163, 31.12.2020

Metehan Ünal , Erkan Bostanci , Mehmet Serdar Guzel , Ayhan Aydın

https://doi.org/10.33769/aupse.627897

Cited By: 1

Abstract

The intelligent machines concept is born in sci-fi
scenarios. Today it seems to be we are much closer to realizing this idea than
ever before. By imitating the human nervous system, machines can learn many
things. This paper explains modern learning techniques like artificial neural
networks, transfer learning. Later purposes an experiment to classify plant
seedling images to test the transfer learning with two different CNN
architectures. Although the architects were not actually created for this task,
result were quite accurate for a different classification task. 

Keywords

Plan Classification, Convolutional Neural Network, AlexNet, VGGNet

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