2018-09-12 Fundamentals of Deep Learning for Computer Vision (HDLW3S18)

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 center 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 workshop - Fundamentals of Deep Learning for Computer Vision at LRZ on Sept. 12th, 2018, exclusively for verifiable students, staff, and researchers from any academic institutions (For industrial participants, please contact NVIDIA for industrial specific training).

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:

• Understand general terms and background of deep learning
• Implement common deep learning workflows such as Image Classification and Object Detection
• Manipulate training parameters to improve accuracy
• Modify internal layers of neural networks to adapt to new problems
• Deploy your networks to start solving real-world problems

Workshop Agenda:

9:00 – 9:30 Intro Lecture

9:30 – 12:00 Training and Deploying Deep Neural Networks (coffee break included)

12:00 - 1:00 Lunch

1:00 - 2:00 Improving Neural Network Performance

2:00 - 4:00 Exploring Advanced Workflows (coffee break included)

4:00 - 5:00 Assessment/Certification/Next Steps

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 HDLW3S18. Additionally, please follow these pre-workshop instructions:

• You must bring your own laptop in order to run the training.
• A current browser is needed. For optimal performance, Chrome, Firefox or Safari for Macs are recommended. IE is operational but does not provide the best performance.
• Create an account at http://courses.nvidia.com/join
• Ensure your laptop will run smoothly by going to http://websocketstest.com/ Make sure that WebSockets work for you by seeing under Environment, WebSockets is supported and Data Receive, Send and Echo Test all check Yes under WebSockets (Port 80).If there are issues with WebSockets, try updating your browser. If you have any questions, please contact Marjut Dieringer at mdieringer"at"nvidia.com. 
• Please remember to sign in to http://courses.nvidia.com/join using the same email address as for event registration, since class access is given based on the event registration list. Please beware that for the adminstrative reasons, after you register at nvlabs.qwiklab.com, Nvidia will use your email address to contact you for the final feedback of the workshop.

On the day of the workshop, please bring your student/academia id. The number of participants is limited to 100.
This workshop is brought to you by:

Looking forward to seeing you at LRZ.
NVIDIA Deep Learning Institute

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.