Face Recognition Techniques USING (Deep Learning)
Archana Pandey1, Bhupesh Gour2
1Archana Pandey, Computer science and Engineering, Lakshmi Narain College of Technology & Science, Bhopal,( M.P.) India
2Dr. Bhupesh Gour, Senior Member, IEEE Member CSI Professor & Head Department of CSE Lakshmi Narain College of Technology & Science, Bhopal ( M.P.) India
Manuscript received on November 12, 2018. | Revised Version Manuscript Received on November 18, 2018. | Manuscript published on November 20, 2018. | PP: 4-6 | Volume-5 Issue-2, December 2018. | Retrieval Number: B0863125218 /19©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Deep Learning is replacing the way we look at technologies. In this so many excitement around Artificial Intelligence (AI) along with it is branches namely Machine Learning (ML) and Deep Learning at the moment. After research It has estimated that several deep learning applications will affect our life in the coming generation. Basically, these are already making an impact. Approx next five to ten years, It will progressive tools, bibliothecary and dialect will become standard components of every software progressive toolkit.
Keywords: learning; machine learning; facial recognition; holistic approach; face detection.