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Explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities.
During this day, you’ll learn the basics of deep learning by training and deploying neural networks. You’ll learn how to:
- Implement common deep learning workflows, such as image classification and object detection,
- Experiment with data, training parameters, network structure, and other strategies to increase performance and capability,
- Deploy your neural networks to start solving real-world problems.
Upon completion, you’ll be able to start solving problems on your own with deep learning.
NVIDIA Deep Learning Institute (DLI) offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning.
This workshop contains lectures and hands-on exercises about fundamentals of Deep Learning for Computer Vision, to learn how to train and deploy a neural network to solve real-world problems.
The lectures are interleaved with many hands-on sessions using Jupyter Notebooks. The exercises will be done on a fully configured GPU-accelerated workstation in the cloud.
This training is a part of NVIDIA AI & HPC ACADEMY 2020, organized by IT4Innovations National Supercomputing Center, which is a certified Nvidia DLI University Ambassador.
Target audience and Purpose of the course
Anyone interested in basics of deep learning. Upon completion, you’ll be able to start solving problems on your own with deep learning.
About the tutor(s)
Georg Zitzlsberger is a research specialist for Machine and Deep Learning. He recently received his certification from Nvidia as a University Ambassador of the Nvidia Deep Learning Institute (DLI) program. This certification allows him to offer Nvidia DLI courses to academic users of IT4Innovations' HPC services.
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.
Acknowledgement
This event was partially supported by The Ministry of Education, Youth and Sports from the Large Infrastructures for Research, Experimental Development and Innovations project "e-Infrastruktura CZ – LM2018140“ and partially by the PRACE-6IP project - the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 823767. We would like to also thank MComputers for their contributions to this event.
