IEEJ Transactions on Electronics, Information and Systems
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
<Information Processing, Software>
Practical Deep Learning Education Method by building Applied Prototypes and its Practical Evaluation
Kenji OhtakaKatsuhiko SeoNobuhiro OoeJun SawamotoMasahiro InoueHisao Koizumi
Author information
JOURNAL RESTRICTED ACCESS

2023 Volume 143 Issue 6 Pages 597-607

Details
Abstract

In deep learning (hereinafter referred to as DL) education, universities, research institutes and large companies are promoting education by fostering educators and creating curriculums based on national policies. However, especially small and medium-sized enterprises and companies in industries that are not good at IT cannot prepare their own educational environment, and it is considered that the educational environment for improving the added value of products and services by DL is not sufficient. Furthermore, the neural network, which is a component of DL, has a feature that it is difficult to determine the feasibility for the realization target. This feature is an issue in educational methods. Based on the above situation, we proposed an educational method that combines online live lectures, reviews, and homework as DL applied education, and confirmed its practice and educational effect.

Content from these authors
© 2023 by the Institute of Electrical Engineers of Japan
Previous article Next article
feedback
Top