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Building Best Predictive Models Using ML and DL Approaches to Categorize Fashion Clothes

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Artificial Intelligence and Soft Computing (ICAISC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12415))

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Abstract

Today Deep learning approach DL becomes the new tendency of machine learning approach ML which is used since it gives much more sophisticated pattern recognition and image classification than classic machine learning approach. Among the most used methods in DL, CNNs are for a special interest. In this work, we have developed an automatic classifier that permits to classify a large number of fashion clothing articles based on ML and DL approaches. Initially, we proceeded to the classification task using many ML algorithms, then we proposed a new CNN model composed of many convolutional layers, one maxpooling layer, and one full connected layer. Finally, we established a comparison between different algorithms. As programming tools, we have used Python, Tensoflow, and Keras which are the most used in the field.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Faculty of Mathematics and Informatics, University Mohamed Boudiaf of Msila, 28000, M’sila, Algeria

    Said Gadri

  2. Department of Computer Science, University of Vienna, Vienna, Austria

    Erich Neuhold

Authors
  1. Said Gadri
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  2. Erich Neuhold
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Corresponding author

Correspondence to Said Gadri .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  3. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  4. Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  6. Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Gadri, S., Neuhold, E. (2020). Building Best Predictive Models Using ML and DL Approaches to Categorize Fashion Clothes. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2020. Lecture Notes in Computer Science(), vol 12415. Springer, Cham. https://doi.org/10.1007/978-3-030-61401-0_9

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  • DOI: https://doi.org/10.1007/978-3-030-61401-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61400-3

  • Online ISBN: 978-3-030-61401-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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