Deep Learning

<strong>School of Computer &amp; Systems Sciences Jawaharlal Nehru University</strong> a Special lecture on <strong>Deep Learning</strong> By <strong>Dr. Ravi Kothari</strong> IBM Research Center, New Delhi <strong>Abstract :</strong>&nbsp;The string of recent instances of deep learning architectures solving complex problems has led to a near euphoric attention being paid to deep learning. In this talk, I will briefly review some well-known deep learning algorithms and then critically examine both from a theoretical and empirical perspective, the recent successes in applying these paradigms. I also provide some insights into interesting developments that are likely to prompt the next generation of learning paradigms. <strong>Brief Biography:</strong>&nbsp;Ravi Kothari is an IBM Distinguished Engineer and the Chief Scientist of IBM Research - India. Prior to joining IBM, he was an Associate Professor (tenured) and Director of the Artificial Neural Systems Laboratory at the University of Cincinnati, OH (USA). Dr. Kothari has served as an Associate Editor of the IEEE Transactions on Neural Networks, IEEE Transactions on Knowledge and Data Engineering, Pattern Analysis and Applications (Springer) as well as on the program committees of various conferences. He was an IEEE Distinguished Visitor (2003-2005 and 2006-2009) and is a member of the IBM Academy of Technology and the IBM Industry Academy. He was a recipient of the 2008 Gerstner Award (IBM's highest team award) and is a fellow of the Indian National Academy of Engineering. Date:<strong>&nbsp;October 19, 2016</strong>