Relative Analysis on Algorithms and Applications of Deep Learning
M. Senbagavalli, Velayutham Sathiyamoorthi, D. Sudaroli Vijayakumar · Advances in computational intelligence and robotics book series · 2019
Deep learning is an artificial intelligence function that reproduces the mechanisms of the human mind in processing records and evolving shapes to be used in selection construction. The main objective of this chapter is to provide a complete examination of deep learning algorithms and its applications in various fields. Deep learning has detonated in the public alertness, primarily as inspective and analytical products fill our world, in the form of numerous human-centered smart-world systems, with besieged advertisements, natural language supporters and interpreters, and prototype self-driving vehicle systems. Therefore, it provides a broad orientation for those seeking a primer on deep learning algorithms and its various applications, platforms, and uses in a variety of smart-world systems. Also, this survey delivers a precious orientation for new deep learning practitioners, as well as those seeking to innovate in the application of deep learning.