International Journal For Multidisciplinary Research
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 5 Issue 6
AI in Deep Learning: Advancements, Challenges, and Future Prospects
|Author(s)||Swarda Jangam, Mohini Kate, Samruddhi Patil, Tanishka Pitale, Prof. Nikita kawase, Prof. Deepak K. Sharma|
|Abstract||Provide a concise summary of your research paper, including the main objectives, findings, and contributions. The advent of deep learning, a subfield of artificial intelligence, has ushered in a paradigm shift in the way machines perceive and interpret the world. At the core of this transformation lies deep neural networks, inspired by the human brain, which possess the remarkable capability to autonomously learn complex features from vast data repositories. This research paper explores the application of deep learning, with a particular focus on image recognition.
This paper provides a comprehensive overview of deep learning's key concepts, including the architecture and training techniques of deep neural networks, exemplified by Convolutional Neural Networks (CNNs). Real-world applications of deep learning in image recognition are examined, illustrating its effectiveness in areas such as medical diagnostics, object detection, and autonomous vehicles.
Moreover, we delve into recent advancements that have elevated deep learning to unprecedented heights, showcasing the state-of-the-art performance achieved in image recognition tasks. Challenges, such as data requirements and ethical concerns, are addressed, highlighting the need for responsible and equitable AI development.
|Keywords||Business Intelligence, Data Analytics, Integration, Actionable Insights, Decision-making, Data-driven, Advanced Analytics, Predictive Analytics, Prescriptive Analytics, Data Integration, Business Strategy, Competitive Advantage, Data Mining, Data Warehousing.|
|Published In||Volume 5, Issue 6, November-December 2023|
|Cite This||AI in Deep Learning: Advancements, Challenges, and Future Prospects - Swarda Jangam, Mohini Kate, Samruddhi Patil, Tanishka Pitale, Prof. Nikita kawase, Prof. Deepak K. Sharma - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.8901|
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