Unleashing the Power of Deep Attention Networks: A Comprehensive Approach for Enhanced Artificial Intelligence

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Published: Oct 27, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i9.8326
Keywords:
Deep Attention Networks, Attention Mechanisms, Multimodal Data Analysis, Natural Language Processing, Computer Vision, Speech Recognition

Main Article Content

Anju J Prakash
Assistant Professor, Dept. of Computer science and Engineering, Sree Buddha College of engineering, Pattoor, India
Sruthy S
Associate Professor, Department of Computer Science and Engineering, St. Joseph’s College of Engineering and Technology, Palai
Sheeja Agustin
Professor, Department of Computer Science and Engineering Marian Engineering College, Thiruvananthapuram
Jinan S
Assistant Professor, Dept. of Mechanical Engineering, Sree Buddha College of engineering, Pattoor, India

Abstract

Deep learning has revolutionized the field of artificial intelligence by achieving state-of-the-art performance on a variety of complex tasks. Attention mechanisms have emerged as a powerful tool to enhance the capabilities of deep neural networks by enabling them to selectively focus on relevant information. In this article, we propose a novel artificial intelligence algorithm called Deep Attention Networks (DANs), which associate multiple attention mechanisms to improve performance on interesting tasks. We evaluate DANs on benchmark datasets in natural language processing, computer vision, and speech recognition and demonstrate superior results compared to existing state-of-the-art approaches. Our approach opens up new possibilities for advancing the field of artificial intelligence and holds promise for various real-world applications. Overall, our results demonstrate the effectiveness and potential of DANs for various AI applications, and highlight the power of combining deep neural networks with attention mechanisms.

Article Details

How to Cite
Prakash, A. J. ., S, S. ., Agustin, S. ., & S, J. . (2023). Unleashing the Power of Deep Attention Networks: A Comprehensive Approach for Enhanced Artificial Intelligence. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 118–122. https://doi.org/10.17762/ijritcc.v11i9.8326
Issue
Vol. 11 No. 9 (2023)
Section
Articles

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