Online Deep Learning Education Method Based on Prototype Construction and Its Practical Evaluation

Deep learning (DL) education is being promoted in the curriculums of universities and large companies. However, in companies that have outsourced their IT departments, engineer training environments for improving the added value of products and services through DL remain insufficient. Furthermore, b...

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Bibliographic Details
Main Authors: Ohtaka, Kenji, Ohe, Nobuhiro, Seo, Katsuhiko, Nakajima, Tsuyoshi, Inoue, Masahiro, Koizumi, Hisao
Format: Conference Proceeding
Language:English
Subjects:
Anomaly detection CNN
Buildings
Companies
Data models
Deep learning
Education method
Machine Learning
Prototypes
Training
Tuning
Online Access:Request full text
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Summary:Deep learning (DL) education is being promoted in the curriculums of universities and large companies. However, in companies that have outsourced their IT departments, engineer training environments for improving the added value of products and services through DL remain insufficient. Furthermore, building a DL system requires DL-specific considerations, such as data preparation and model tuning, to ensure quality. Based on the circumstances described above, we propose a practical DL application education method based on the construction of a prototype system for DL application, and discuss its practice and evaluation.
ISSN:2693-0854
DOI:10.1109/GCCE59613.2023.10315302