NVIDIA DLI Course: Fundamentals of Deep Learning for Multiple Data Types

Date: Tuesday, January 21, 2020, 09:00-17:00
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 Multiple Data Types 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’ll learn how to train a network using TensorFlow and the MSCOCO dataset to generate captions from images and video by:

  • Implementing deep learning workflows like image segmentation and text generation
  • Comparing and contrasting data types, workflows, and frameworks
  • Combining computer vision and natural language processing

Upon completion, you’ll be able to solve deep learning problems that require multiple types of data inputs.

Content level: Beginner

Pre-Requisites: complete DLI computer vision workshop or have completed a university machine learning course, familarity with TensorFlow will be a plus as all the hands-on sessions are using TensorFlow. For those who do not program in TensorFlow, please go over TensorFlow tutorial: https://www.tensorflow.org/tutorials/, especially the "Learn and use ML" section.

Important information

After 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 Fee

The 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:

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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.

Prerequisites: Complete DLI computer vision workshop or have completed a university machine learning course, familarity with TensorFlow will be a plus as all the hands-on sessions are using TensorFlow. For those who do not program in TensorFlow, please go over TensorFlow tutorial: https://www.tensorflow.org/tutorials/, especially the "Learn and use ML" section.
Content level:

The content level of the course is broken down as:

Beginner's content: 2,0h 30%
Intermediate content: 4,5h 70%
Advanced content: 0,0h 0%
Community-targeted content: 0,0h 0%
Language: English
Teacher: PD Dr. Juan Durillo Barrionuevo, LRZ
Registration: Via the LRZ registration form. Please choose course HDLW2W19.