Actions and Detail Panel
GPUniversity at Stanford: Deep Learning and Beyond
Wed, October 12, 2016, 10:00 AM – 6:00 PM PDT
Join ICME Stanford and NVIDIA for their annual GPUniversity at Stanford ICME in the Jen-Hsun Huang Engineering Center on October 12, 2016.
Come explore the future of AI computing—from robotics and medicine to finance and self-driving cars. Discover how GPUs are powering this revolution with hands-on demos, deep learning workshops, and tech talks with experts who are creating new realities with AI.
When: Wednesday, October 12, 2016 | 10:00AM – 6:00PM
Who can attend?: All Stanford University students, professors and faculty
Deep Learning Workshop Information:
In these workshops you will learn how to quickly train a deep neural network to detect objects within your datasets using the Deep Learning GPU Training System (DIGITS).
Equipment needed: wifi enabled laptop with a modern browser (not IE).
- Workshop 1 | Approaches to Object Detection using DIGITS – 90 minutes (1:30 PM – 3:00PM)
- Workshop 2 | Deep Learning Network Deployment – 90 minutes (3:00PM – 4:30 PM)
Find out more about NVIDIA Digits here: https://developer.nvidia.com/digits
Register for the events you would like to attend. Seating is limited.
10:00AM – 11:00AM Keynote, Jen-Hsun Huang (Seating is limited)
11:00AM – 12:30PM Speakers
- 11:00 am: Kay Giesecke: Deep Learning for Housing Markets
- 11:30am: Silvio Savarese: Deep Learning for Vision and Robotics
- 12:00pm: Daniel Rubin: Deep Learning for Medical Imaging
12:30PM Hands-On Demos and Lunch
1:30PM Deep Learning Workshop: Approaches to Object Detection using DIGITS
3:00PM Deep Learning Workshop: Deep Learning Network Deployment
4:30PM Speaker, Bryan Catanzaro (VP, Applied Deep Learning Research, NVIDIA)
Food and Refreshments will be provided throughout the day.
NVIDIA makes computers that are loved by the most demanding users in the world—gamers, designers, and scientists. We pioneered GPU computing—a supercharged form of computing. The GPU evolved from a 3D graphics chip into a computer brain that gives humans the power to simulate virtual worlds and computers the intelligence to understand the real world. Gaming. Virtual reality. AI and deep learning. Self-driving cars. We apply our deep expertise and significant scale to large growth markets like these, where our specialty is greatly valued.