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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM25371
Volume:
7 |
8 |
Aug 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Because of advancements and the advent of deep learning, there has been a revolution in machine learning applications in recent years. Deep learning models are superior to traditional machine learning models because they include more learning layers and a greater level of abstraction. This benefit is further supported by the fact that all components of the model directly learn from the data. Conventional machine learning models experience limits as a result of the method they use to process the data because of the growing volume of data and the increased desire to derive useful insights from the data. The increase in data volume has led to the development of more sophisticated learning algorithms that are quicker and more accurate. Every firm will undoubtedly utilize a model like this one that produces the most accurate predictions in order to stay ahead of the competition. We shall discuss some of the most widely used deep learning techniques in this paper.
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Publication Date
8/23/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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