Deep Learning and its Importance for Early Signature of Neuronal Disorders

Sudip Paul, Jitendra Verma, Amitava Datta, Rabindra Shaw, Angana Saikia

Research output: Chapter in Book/Conference paperConference paperpeer-review

13 Citations (Scopus)

Abstract

Deep learning is a nomenclature given to a recently developed domain of pattern recognition. It has potency to influence the development of artificial intelligence research. The concept of deep learning has been originated from the capability of making educated decisions/guesses regarding a topic/situation in spite of having no prior experience. From mathematical perspective, deep learning allows the extraction of features from a given set of data which allows much more capable and accurate training for a certain technique. With the advent of more powerful mathematical techniques deep learning is seen as an effective method to enhance the capabilities of presently developed algorithms without needlessly complicating their mode of operation. This paper presents importance of deep learning to detect neural disorder.
Original languageEnglish
Title of host publicationProceedings of the 2018 4th International Conference on Computing Communication and Automation (ICCCA)
Place of PublicationIndia
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781538669471
DOIs
Publication statusPublished - Dec 2018
Event4th International Conference on Computing Communication and Automation (ICCCA) - Greater Noida, India
Duration: 14 Dec 201815 Dec 2018

Publication series

Name2018 4th International Conference on Computing Communication and Automation, ICCCA 2018

Conference

Conference4th International Conference on Computing Communication and Automation (ICCCA)
Abbreviated titleICCCA
Country/TerritoryIndia
CityGreater Noida
Period14/12/1815/12/18

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