Deep Learning Workshop
|Date:||Monday, Jan. 22nd, 2018, 9:00-17:30|
|Location:||LRZ Building, Garching/Munich, Boltzmannstr. 1, LRZ Seminarraum 1|
The Leibniz Supercomputing Center (LRZ) is the computer center for Munich's universities and for the Bavarian Academy of Sciences and Humanities. It is also a national centre for High Performance Computing. NVIDIA Deep Learning Institute (DLI) offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning. LRZ and DLI are excited to announce this one-day practical Deep Learning workshop at LRZ on Jan. 22nd, 2018 exclusively for verifiable students, staff, and researchers from any academic institutions.
In this full-day workshop, you will learn the basics of deep learning by training and deploying neural networks. Build the skill-set and toolbox you need to build your own deep learning solutions through hands-on projects. Learners will:
09:00 – 09:15 Welcome
09:15 – 09:45 Deep Learning Demystified (lecture)
09:45 – 10:15 Best Practices for Starting a Deep Learning Project (lecture)
10:15 – 10:30 Coffee Break
10:30 – 12:30 Image Classification with DIGITS (lab)
12:30 – 13:30 Lunch break
13:30 – 15:30 Object Detection with DIGITS (lab)
15:30 – 15:45 Coffee Break
15:45 – 17:45 Neural Network Deployment with DIGITS and TensorRT (lab)
17:45 – 18:00 Final remarks
Content level: Beginner
Pre-Requisites: Technical background and basic understanding of machine learning concepts
IMPORTANT: To reserve your seat, you MUST register at the LRZ registration with a valid email address. Please choose course HDLW1W17. Additionally, please follow these pre-workshop instructions:
On the day of the workshop, please bring your student id or work id. The number of participants is limited to 35.
Looking forward to seeing you at LRZ.
The NVIDIA Deep Learning Institute delivers hands-on training for developers, data scientists, and engineers. The program is designed to help you get started with training, optimizing, and deploying neural networks to solve real-world problems across diverse industries such as self-driving cars, healthcare, online services, and robotics.
|Teacher:||Dr. Yu Wang, LRZ and Nvidia University Ambassdor|
|Registration:||Via the LRZ registration form. Please choose course HDLW1W17.|