Deep Learning and GPU-Programming Instruction AT GTC

Learn from GPU experts from NVIDIA and other organizations.

Present a Talk, Poster or Lab at GTC 2018.

TRAINING

Get the knowledge and hands-on experience you need to transform the future of artificial intelligence,  deep learning, virtual reality, self-driving cars, high-performance computing, and more. Learn from experts from  the NVIDIA Deep Learning Institute and other leading organizations in the industry.

INSTRUCTOR-LED WORKSHOPS

NVIDIA
Senior Certified Instructor, Deep Learning Institute

Getting Started with Deep Learning

Barcelona Supercomputing Center (BSC)
Software Engineer

Best GPU Code Practices Combining OpenACC, NVIDIA® CUDA®, and OmpSs

NVIDIA
Solutions Architect

Introduction and Integration with DriveWorks on Drive PX2


SELF-PACED LABS

These labs are a unique opportunity to get hands-on with specific programming languages, technologies, and domains. There’s no need to schedule a self-paced lab. Just visit the Lower Level Concourse to get started.

Can’t attend GTC? Take a self-paced lab from wherever you are by creating an account using Qwiklabs.
Use code: GTC2017 for free credits.

In this lab, we introduce some basic methods for using a Convolutional Neural Network (CNN) to process Radio Frequency (RF) signals.

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Participants will explore the first two steps of the OpenACC programming cycle: Identify and Express Parallelism.

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Learn about a number of memory optimization techniques when programming with NVIDIA CUDA C/C++ for an NVIDIA GPU.

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NVIDIA Deep Learning Institute

WANT MORE TRAINING?

The NVIDIA Deep Learning Institute delivers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning. Through self-paced labs and instructor-led workshops, the Deep Learning Institute offers training on the latest techniques for designing, training, and deploying neural network-powered machine learning across a variety of application domains.