Deep Learning and Neural Networks are increasingly being applied to many problems including object detection. Join us for an example where we apply Deep Learning to Yoga poses.
Event Details
Developments in deep learning models have greatly expanded the range of problems that approached with neural networks, as well as, the range of problems we can hope to tackle. Neural networks are increasingly being applied to problems related to object detection, natural language processing and generation such as identification of hate speech or adding sound to silent movies.
For this talk, we will discuss an application of deep learning to the area of sports fitness – namely, using deep learning to augment the virtual learning experience for yoga. Deep Learning can be used to develop a system capable of providing instructional feedback. We compare two applications of deep learning to yoga pose classification: a one-step neural network classifier and a two-step model consisting of a pose-extracting neural network feeding into standard classification models like SVM and random forest. We show that by avoiding explicit feature engineering, the one-step model is not only more efficient to build but also performs significantly better than the two-step model for the problem of yoga pose detection.
$10 Early Bird (before the week of the event)
$15 Standard Pricing (week of the event)
$20 At the Door
Speaker Profiles
Emily Coppess (Speaker)
Emily Coppess recently completed a Masters degree in Analytics from the University of Chicago. Prior to pursuing this degree, she was a linguistic researcher focused on answering questions about linguistic variation using computational methods. She has an undergraduate degree in pure mathematics and linguistics from the University of Michigan.
Jay Ong (Speaker)
Jay Ong received his undergraduate degree in Mathematics, Statistics and Computer Science from the University of Minnesota, Twin Cities before obtaining his Masters in Analytics at the University of Chicago in 2018. A proud immigrant from Malaysia, he worked as consultant as well as software engineer in sectors ranging from government to finance to education. He also currently owns and operates multiple sole-proprietorships focusing on investment and international commerce.
Shahbaz Chaudhry (Speaker)
Shahbaz Chaudhry received his undergraduate degree in Computer Science and worked as a financial trading system developer for many years before obtaining a Masters degree in Analytics from the University of Chicago. He has worked in New York, Brazil, North Carolina and now working in the finance industry in Chicago.
Ashish Pujari (Speaker)
1959
Ashish Pujari serves as the AVP of Analytics architecture at CNA insurance, where he is responsible for engineering and innovation of their data and analytics platforms. He specializes in AI and Machine Learning, big-data analytics, cloud computing, algorithm development, application and database design, decision management and visualization technologies. Ashish received is MSc. in Analytics from the University of Chicago, and B.E Electrical Engineering from the NIT, Rourkela. His research interests include Artificial Intelligence and parallel and distributed systems.
Questions
Roger Moore, '92
Senior Director / Gartner Consulting
312-543-1319