Issue |
E3S Web Conf.
Volume 477, 2024
International Conference on Smart Technologies and Applied Research (STAR'2023)
|
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Article Number | 00098 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/e3sconf/202447700098 | |
Published online | 16 January 2024 |
Analysis of Deep Learning Development Platforms and Their Applications in Sustainable Development within the Education Sector
1 Innovative Systems Engineering Lab. (ISI), National School of Applied Sciences, Abdelmalek Essaâdi University, Tetouan, Morocco
2 President of Ibn Tofail University, Ibn Tofail University, Kenitra, Morocco
Educational institutions use information and communication technologies effectively to meet the innovation requirements that will increase their competitiveness. In this context, the rapid progression of deep learning has become a focal point for educational sustainability. Deep learning is increasingly integrated into education, driven by its advantages, including personalized learning experiences, elevated course material quality, student development enhancement, predictive analysis for student dropout prevention in massive open online courses, and streamlining instructional tasks. Notably, major corporations such as Amazon, Apache, Google, IBM, Microsoft, NVIDIA, and others actively contribute to the continuous development of deep learning tools and platforms. This section aims to provide a comprehensive understanding, starting with the definition of deep learning, its foundational principles, development tools, and platforms, followed by a discussion of its applications in education for sustainable development, illustrated with relevant examples.”
Key words: Sustainable Learning / Sustainable Deep Learning Applications / Deep Learning / Machine Learning / Artificial Neural Networks / Higher Education
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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