NVIDIA Deep Learning Institute (DLI)

Fundamentals of Deep Learning for Multi-GPUs

The first NVIDIA DLI workshop in Prague

This course will teach you how to use multiple GPUs for training of neural networks. It will be guided by Adam Grzywaczewski, Senior Deep Learning Solution Architect at NVIDIA, author of the course.

  • Location

    Czech Technical University in Prague (CTU)
    Czech Institute of Informatics, Robotics and Cybernetics
    Jugoslávských partyzánů 1580/3, Praha 6 — Dejvice, Czech republic

  • Date

    Wednesday, the 27th of November 2019

  • Agenda

    8:45 – 9:00     registration
    9:00 – 17:00   Fundamentals of Deep Learning for Multi-GPUs

    The number of participants is limited to 20.
    The price of the NVIDIA DLI workshop is 380 EUR w/o VAT per person.



More information about Fundamentals of Deep Learning for Multi-GPUs course

The computational requirements of deep neural networks used to enable AI applications like self-driving cars are enormous. A single training cycle can take weeks on a single GPU or even years for larger datasets like those used in self-driving car research. Using multiple GPUs for deep learning can significantly shorten the time required to train lots of data, making solving complex problems with deep learning feasible. This workshop will teach you how to use multiple GPUs to train neural networks.
You’ll learn:

  1. Approaches to multi-GPUs training
  2. Algorithmic and engineering challenges to large-scale training
  3. Key techniques used to overcome the challenges mentioned above

Upon completion, you’ll be able to effectively parallelize training of deep neural networks using TensorFlow.

Prerequisites: Experience with stochastic gradient descent mechanics, network architecture, and parallel computing
Tools and Frameworks: TensorFlow
Assessment Type: Code-based
Languages: English
Certificate Available

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