NVIDIA DLI Course: Fundamentals of Deep Learning for Computer Vision
Date: | Monday, January 20, 2020, 09:00-17:00 | ||||||||||||
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Location: | LRZ Building, Garching/Munich, Boltzmannstr. 1, Kursraum 2 | ||||||||||||
Contents: |
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, 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:
Important informationAfter you are accepted, please create an account under courses.nvidia.com/join using the same email address as for event registration, since lab access is given based on the event registration list. Course FeeThe workshop is free of charge for all academic participants and coffee breaks will be provided (lunch is not included). Please note, that the workshop is exclusively for verifiable students, staff, and researchers from any academic institution (for industrial participants, please contact NVIDIA for industrial specific training). Please bring your student/academia id. This workshop is brought to you by:
NVIDIA Deep Learning InstituteThe 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. |
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Prerequisites: | Technical background and basic understanding of machine learning concepts | ||||||||||||
Content Level: |
The content level of the course is broken down as:
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Language: | English | ||||||||||||
Teacher: | PD Dr. Juan Durillo Barrionuevo, LRZ | ||||||||||||
Registration: | Via the LRZ registration form. Please choose course HDLW1W19. |