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Deep Learning: Hope or Hype

Author

Listed:
  • Mohiuddin Ahmed

    (Edith Cowan University)

  • A. K. M. Najmul Islam

    (University of Turku)

Abstract

In this paper, we investigate the literature around deep learning to identify its usefulness in different application domains. Our paper identifies that the effectiveness of deep learning is highly visible in the medical imaging area. Other application domains are yet to make any significant progress using deep learning. Therefore, we conclude that deep learning is a good solution for medical imaging analysis. However, its benefits are yet to be realized in other domains and researchers are pursuing to explore its effectiveness to solve problems in these domains. Our initial critical evaluation suggests that deep learning may be a hype in most domains. In order to probe this further, we call for a deeper engagement with prior literature in different application domains of deep learning.

Suggested Citation

  • Mohiuddin Ahmed & A. K. M. Najmul Islam, 2020. "Deep Learning: Hope or Hype," Annals of Data Science, Springer, vol. 7(3), pages 427-432, September.
    • Handle: RePEc:spr:aodasc:v:7:y:2020:i:3:d:10.1007_s40745-019-00237-0
    DOI: 10.1007/s40745-019-00237-0
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    References listed on IDEAS

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    1. Mohiuddin Ahmed, 2018. "Collective Anomaly Detection Techniques for Network Traffic Analysis," Annals of Data Science, Springer, vol. 5(4), pages 497-512, December.
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    Cited by:

    1. Paula Ianishi & Oilson Alberto Gonzatto Junior & Marcos Jardel Henriques & Diego Carvalho do Nascimento & Gabriel Kamada Mattar & Pedro Luiz Ramos & Anderson Ara & Francisco Louzada, 2022. "Probability on Graphical Structure: A Knowledge-Based Agricultural Case," Annals of Data Science, Springer, vol. 9(2), pages 327-345, April.
    2. Heba M. Emara & Mohamed Elwekeil & Taha E. Taha & Adel S. El-Fishawy & El-Sayed M. El-Rabaie & Walid El-Shafai & Ghada M. El Banby & Turky Alotaiby & Saleh A. Alshebeili & Fathi E. Abd El-Samie, 2022. "Efficient Frameworks for EEG Epileptic Seizure Detection and Prediction," Annals of Data Science, Springer, vol. 9(2), pages 393-428, April.
    3. Hossein Hassani & Xu Huang & Emmanuel Silva & Mansi Ghodsi, 2020. "Deep Learning and Implementations in Banking," Annals of Data Science, Springer, vol. 7(3), pages 433-446, September.

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