Analysis of Deep Learning Development Platforms and Their Applications in Sustainable Development within the Education Sector
| Autor: | Ouahi Mariame, Khoulji Samira, Laarbi Kerkeb Mohammed |
|---|---|
| Jazyk: | English<br />French |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | E3S Web of Conferences, Vol 477, p 00098 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2267-1242 20244770 |
| DOI: | 10.1051/e3sconf/202447700098 |
| Popis: | 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.” |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|