Deep Learning Architectures and Applications
Deep Learning has revolutionized Artificial Intelligence by enabling machines to learn complex patterns from massive datasets. This article examines the architectures of Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers, highlighting their applications in healthcare, education, and sustainability. It emphasizes the leadership role in adopting these technologies responsibly, ensuring ethical innovation, and fostering inclusive digital futures.
Authors
- Hakikur Rahman (ORCID: https://orcid.org/0000-0002-2132-1298)
Institutions
- Standard Bio (Norway) (NO)
- Sustainability Institute (ZA)
- International Standard University (BD)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-11
- DOI
- https://doi.org/10.5281/zenodo.22702873
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00