NVIDIA Deep Learning Institute Workshop - Deep Learning for Robotics
2495 Bancroft Way, Berkeley, CA 94720, USA
37.86922
-122.25967300000002
NVIDIA Deep Learning Institute Workshop - Deep Learning for Robotics
Registering for this workshop does not grant access to TC Sessions: Robotics+AI on April 18. Tickets to TC Sessions: Robotics+AI are sold separately. Lunch is not included in workshop ticket.
Workshop Description: AI is revolutionizing the acceleration and development of robotics across a broad range of industries. Explore how to create robotics solutions on a Jetson for embedded applications. In-person workshops teach you how to implement and deploy an end-to-end project through hands-on training in eight hours led by DLI instructor. You’ll learn how to:
· Apply computer vision models to perform detection
· Prune and optimize the model for embedded application
· Train a robot to actuate the correct output based on the visual input
Upon completion, you’ll know how to deploy high-performance deep learning applications for robotics. Certification will be available upon completion of code-based assessment.
Instructor BioDana SheahenCurriculum Developer, Deep Learning Institute, NVIDIA
Speaker Bio
Dana Sheahen is a Curriculum Developer at NVIDIA’s Deep Learning Institute focused on applications in autonomous systems. Dana's background includes embedded systems software development as well as curriculum and content development for courses in artificial intelligence and robotics. She holds an MSCS from Georgia Tech and a BSEE from Rice University.
Time:10:00am - 6:00pm PT
Location:Pauly Ballroom West (UC Berkeley), 2495 Bancroft Way, Berkeley, CA 94720
Workshop Capacity:60 people
Prerequisites: Basic familiarity with deep neural networks, Basic coding experience in Python or a similar language
Frameworks: ROS, DIGITS, Jetson
Certification: Available upon completion of code-based assessment
How To Prepare: All attendees must bring their own laptop and charger. We recommend using a current version of Chrome, Firefox, or Safari for an optimal experience. Create an account at http://courses.nvidia.com/join before you arrive.
Additional Information:
Workshop Type: In-person, Instructor-Led Course
Workshop Length: 8 Hours
Lunch is not included