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:
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 organized by IT4Innovations National Supercomputing Center, which is a certified Nvidia DLI University Ambassador.
Anyone interested in basics of deep learning. Upon completion, you’ll be able to start solving problems on your own with deep learning.
This course is only offered to academia (see details below in section Capacity and Fees).
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.
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.
This course is supported by the PRACE-5IP project – the European Union's Horizon 2020 research and innovation programme under grant agreement No. 730913 – and is sponsored by Nvidia as part of the Nvidia Deep Learning Institute (DLI) University Ambassador program.
This work was also supported by The Ministry of Education, Youth and Sports from the Large Infrastructures for Research, Experimental Development and Innovations project ”IT4Innovations National Supercomputing Center – LM2015070”.