Skip to main content

Deep Learning

Citations of this article
Mendeley users who have this article in their library.
Get full text


Deep learning has caught a great deal of momentum in the last few years. Research in the field of deep learning is progressing very fast. Deep learning is a rapidly growing area of machine learning. Machine learning (ML) has seen numerous successes, but applying traditional ML algorithms today often means spending a long time hand-engineering the domain-specific input feature representation. This is true for many problems in vision, audio, natural language processing (NLP), robotics, and other areas. To address this, researchers have developed deep learning algorithms that automatically learn a good high-level abstract representation for the input. These algorithms are today enabling many groups to achieve groundbreaking results in vision recognition, speech recognition, language processing, robotics, and other areas.




Gupta, M. (2019). Deep Learning. In International Series in Operations Research and Management Science (Vol. 264, pp. 569–595). Springer New York LLC.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free