Introducing the Deep Learning for Digital Age

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Author(s): Shaila S. G. (Dayananda Sagar University, India), Sunanda Rajkumari (Dayananda Sagar University, India)and Vadivel Ayyasamy (SRM University AP Amaravati, India)
Copyright: 2020
Pages: 17
Source title: Handbook of Research on Applications and Implementations of Machine Learning Techniques
Source Author(s)/Editor(s): Sathiyamoorthi Velayutham (Sona College of Technology, India)
DOI: 10.4018/978-1-5225-9902-9.ch017

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference / Neural Networks

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Abstract

Deep learning is playing vital role with greater success in various applications, such as digital image processing, human-computer interaction, computer vision and natural language processing, robotics, biological applications, etc. Unlike traditional machine learning approaches, deep learning has effective ability of learning and makes better use of data set for feature extraction. Because of its repetitive learning ability, deep learning has become more popular in the present-day research works.

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Introducing the Deep Learning for Digital Age

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