NVIDIA DLI WORKSHOPS

2020

Covid-Sars-2 presents us with new challenges. For this reason we decided to move our workshops online!
If you are a student or researcher interested in learning the Fundamentals of Deep Learning and Accelerated Computing, no matter where you live, sign up for one of the upcoming events. We are waiting for you!

NVIDIA Deep Learning Institute (DLI) offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing.

NVIDIA DLI and University of Salerno (Dept. of Innovation Systems) are excited to announce, for the third year in a row, the 2020 series of practical Deep Learning and Accelerated Computing workshops exclusively for verifiable academic students, staff, and researchers.

Program

Explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities.

In this workshop, 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.

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Learn the latest deep learning techniques to understand textual input using natural language processing (NLP). You’ll learn how to:

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This workshop explores how convolutional and recurrent neural networks can be combined to generate effective descriptions of content within images and video clips.

Learn how to train a network using TensorFlow and the Microsoft Common Objects in Context (COCO) dataset to generate captions from images and video by:

Upon completion, you’ll be able to solve deep learning problems that require multiple types of data inputs.

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The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs. Experience C/C++ application acceleration by:

Upon completion, you’ll be able to accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques. You’ll understand an iterative style of CUDA development that will allow you to ship accelerated applications fast.

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This workshop explores how to use Numba—the just-in-time, type-specializing Python function compiler—to accelerate Python programs to run on massively parallel NVIDIA GPUs. You’ll learn how to:

Where:


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