深度学习模型在21世纪国家信息技术学院的应用

G. Andrejková, L. Antoni, E. Bruoth, P. Bugata, D. Gajdos, J. Guniš, S. Horvát, D. Hudák, V. Kmecová, S. Krajči, O. Krídlo, M. Opiela, V. Pristaš, A. Szabari, R. Staňa, M. Stanková, Ľ. Šnajder, D. Sveda, G. Vozáriková
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引用次数: 0

摘要

在全球所有主要市场部门以及公共部门,人们对促进和支持人工智能系统的使用越来越感兴趣。斯洛伐克人工智能系统的发展是医疗保健、工业、农业数字化以及斯洛伐克经济其他部门创新的重要关键。为了为大学生提供教育和培训的可能性,创新他们在信息技术部门就业的准备工作,并提高他们在信息社会中的地位,在国家项目IT学院- 21世纪教育领域扩大活动的实施是非常重要的。在本文中,我们提出了人工智能在21世纪国家信息技术学院教育项目中的地位。我们介绍了深度学习方法的基本描述及其应用。此外,我们还介绍了关于深度学习方法在人类活动识别领域和心电图记录分割领域的应用的两个教育案例研究,它们代表了国家项目IT学院- 21世纪教育的输出示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of Deep Learning Models within National Project IT Academy – Education for 21st Century
A growing interest in promoting and supporting the use of artificial intelligence systems is observed in all major market sectors worldwide, as well as in the public sector. The development of artificial intelligence systems in Slovakia is an important key for innovations in the field of healthcare, digitalization of industry, agriculture, but also other sectors of the Slovak economy. Extending the implementation of activities within the National Project IT Academy – Education for 21st Century by the area of Artificial Intelligence was important in order to provide the educational and training possibilities for university students, to innovate their preparation for employment in the IT sector and to improve their position regarding the information society. In this paper, we present the position of artificial intelligence within the National Project IT Academy – Education for 21st Century. We introduce the basic description of deep learning methods and their applications. Moreover, we present our two educational case studies regarding the applications of deep learning methods in the field of human activity recognition and in the segmentation of electrocardiogram recordings, which represent the examples of outputs of National Project IT Academy – Education for 21st Century.
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