Abstract
Abstract: Deep learning is an rising space of machine learning analysis. It includes multiple hidden layers of artificial neural networks. The deep learning methodology applies nonlinear transformation and model abstractions of high level in larger databases. Deep learning has achieved great success in several fields like computer vision and linguistic communication process compared to ancient machine learning ways. Deep learning contains a sturdy brainpower and may build higher use of datasets for future extraction. In past few years, deep learning has become a trend. Since deep learning tries to form a stronger analysis and may learn huge quantity of unlabeled knowledge, Deep learning has been applied to many of the fields.There are seven applications that are applied with deep learning were known namely automatic speech recognition, Image recognition, Linguistic communication process, Drug discovery and Pharmacological medicine, Customer-relationship management, Recommendations systems and Bioinformatics.
Cite
CITATION STYLE
S, H. J., & Raju, Mrs. M. (2022). A Study on Deep Learning. International Journal for Research in Applied Science and Engineering Technology, 10(11), 961–964. https://doi.org/10.22214/ijraset.2022.47486
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