A First Step into Deep Learning for Computer Vision (ADDED FEE) — Professional Development Continuing Education Course
ASA, Section on Statistical Learning and Data Science
At the heart of the artificial intelligence revolution is the significant advancement in deep learning technology. Deep learning – more directly, the application of complex, sophisticated deep neural network architectures – has shown impressive promise in solving problems that were previously considered infeasible to solve. In particular, image classification and object detection have become extremely accurate, and the ability to understand, process and generate natural language from speech and text has provided a whole new level of interaction of humans with computers and devices. In this workshop you will learn the fundamentals of deep learning from the ground up, and hands-on exercises with deep learning software, using SAS Viya, will have you building and applying convolutional neural networks for image classification. Students should have some familiarity with SAS, R, and/or Python and predictive modeling techniques.
Instructor(s): Robert Blanchard, SAS; Brett Wujek, SAS Institute Inc.; Sarah Kalicin, Intel Corporation
