Citation :

Venkata Sathya Kumar Koppisetti, 2024. "Deep Learning: Advancements and Applications in Artificial Intelligence" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 2, Issue 2: 106-113.

Abstract :

Deep learning, a branch of Artificial Intelligence (AI) and Machine Learning (ML), is right now enjoying enormous success in the regaining process of the last ten years. The following article focuses on an all-encompassing subject of deep learning, where its role in essential sectors such as healthcare, finance, automotive and entertainment has been highlighted. The introduction of some important topics in the form of Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs) and transformers is explored. The paper concludes with a discussion of the techniques behind these architectures, their real-life applications, and avenues for the future. Through the literature review, more recent research is systematically compared and contrasted. At the same time, the methods section will specify the steps to be taken to formulate and use deep machine learning models. The sentence is about the current moment of deep learning and the ability of it to lead to more people becoming aware of AI adoption.

References :

[1] Neural Network: Architecture, Components & Top Algorithms, upgrad. https://www.upgrad.com/blog/neural-network-architecture-components-algorithms/

[2] Venkata Sathya Kumar Koppisetti, 2024. "The Future of Remote Collaboration: Leveraging AR and VR for Teamwork" ESP International Journal of Advancements in Computational Technology (ESP-IJACT) Volume 2, Issue 1: 56-65.

[3] Venkata Sathya Kumar Koppisetti, "Automation of Triangulation, Inter-Company, or Intra-Company Procurement in SAP SCM," International Journal of Computer Trends and Technology, vol. 71, no. 9, pp. 7-14, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I9P102

[4] What are convolutional neural networks?, IBM. https://www.ibm.com/topics/convolutional-neural-networks

[5] Venkata Sathya Kumar Koppisetti, 2024. "The Role of Explainable AI in Building Trustworthy Machine Learning Systems" ESP International Journal of Advancements in Science & Technology (ESP-IJAST) Volume 2, Issue 2: 16-21.

[6] Sandeep Kumar and Manoj Kumar Vandanapu, Natural Language Generation and Artificial Intelligence in Financial Reporting: Transforming Financial Data into Strategic Insights for Executive Leadership, International Journal of Computer Engineering and Technology (IJCET), 15(2), 2024, pp.45-55

[7] Venkata Sathya Kumar Koppisetti, 2024. "Machine Learning at Scale: Powering Insights and Innovations" ESP International Journal of Advancements in Computational Technology (ESP-IJACT) Volume 2, Issue 2: 56-61.

[8] Generative Adversarial Network, Wikipedia. https://en.wikipedia.org/wiki/Generative_adversarial_network

[9] Introduction to Recurrent Neural Network, Geeksforgeeks. https://www.geeksforgeeks.org/introduction-to-recurrent-neural-network/

[10] Venkata Sathya Kumar Koppisetti, 2024. "Meta Learning: Harnessing AI to Optimize Machine Learning Models" ESP International Journal of Advancements in Science & Technology (ESP-IJAST) Volume 2, Issue 2: 27-35.

[11] Sandeep Kumar and Manoj Kumar Vandanapu, Natural Language Generation and Artificial Intelligence in Financial Reporting: Transforming Financial Data into Strategic Insights for Executive Leadership, International Journal of Computer Engineering and Technology (IJCET), 15(2), 2024, pp.45-55

[12] Venkata Sathya Kumar Koppisetti, "Automation of Vendor Invoice Process with OpenText Vendor Invoice Management ," International Journal of Computer Trends and Technology, vol. 71, no. 8, pp. 71-75, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I8P111

[13] "DIFFERENTIAL PRIVACY TECHNIQUES IN MACHINE LEARNING FOR ENHANCED PRIVACY PRESERVATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.b148-b153, February-2024, Available: http://www.jetir.org/papers/JETIR2402116.pdf

[14] Kushal Walia, 2024. "Accelerating AI and Machine Learning in the Cloud: The Role of Semiconductor Technologies" ESP International Journal of Advancements in Computational Technology (ESP-IJACT) Volume 2, Issue 2: 34-41.

[15] Marina Chatterjee, Top 20 Applications of Deep Learning in 2024 Across Industries, 2024. Online. Available: https://www.mygreatlearning.com/blog/deep-learning-applications/

[16] B. Namatherdhala, A. Ganesh, N. Memon and J. Logeshwaran, "The smart detection of neuro-pathological effects of alzheimer patients using neural networks," 2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon), Singapore, Singapore, 2023, pp. 858-863, doi: 10.1109/SmartTechCon57526.2023.10391384.

[17] Ganesh, A. ., & Crnkovich, M., (2023). Artificial Intelligence in Healthcare: A Way towards Innovating Healthcare Devices. Journal of Coastal Life Medicine, 11(1), 1008–1023. Retrieved from https://jclmm.com/index.php/journal/article/view/467

[18] Deval Parikh, Sarangkumar Radadia, Raghavendra Kamarthi Eranna, 2024. Privacy-Preserving Machine Learning Techniques, Challenges and Research Directions, Volume 11, Issue 3, pp. 499-509. [Link].

Keywords :

Deep Learning, Artificial Intelligence, Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks, Transformers, Machine Learning.