MUNICH 10-12 OCT 2017

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.

DEEP LEARNING

For All Industries by NVIDIA
Deep Learning Institute
October 10-12

AUTOMOTIVE

October 10-12

FINANCE

by NVIDIA Deep Learning Institute
October 11

HEALTHCARE

by NVIDIA Deep Learning Institute
October 10

CUDA/OPENACC

October 11-12

ROBOTICS

October 10

VR

October 11

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 first floor lab area to get started.

Can’t attend GTC EU? Take a self-paced lab from wherever you are by creating an account using Qwiklabs.

Applications of Deep Learning
with Caffe, Theano and Torch

 

In this lab we introduce deep learning accelerated by GPUs. We tour popular software frameworks for deep learning by training Convolutional Neural Networks (CNNs) in each framework to classify images.
Learn more >

Image Classification
with DIGITS

 

Learn how to leverage deep neural networks (DNN) within the deep learning workflow to solve a real-world image classification problem using NVIDIA DIGITS.
Learn more >

Introduction to Accelerated Computing

 

Learn about the three techniques for accelerating code on a GPU; Libraries, Directives like OpenACC, and writing code directly in CUDA-enabled languages.

Learn more >

REGISTER TODAY

Secure your training ticket today – space is limited!

 

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. Learn more >