NVIDIA DLI WORKSHOPS
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.
DLI and University of Sannio (Dept. of Engineering) with University of Salerno (Dept. of Innovation Systems) are excited to announce the 2019 series of practical Deep Learning and Accelerated Computing workshops exclusively for verifiable academic students, staff, and researchers.
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:
Accelerating CPU-only applications to run their latent parallelism on GPUs
Utilizing essential CUDA memory management techniques to optimize accelerated applications
Exposing accelerated application potential for concurrency and exploiting it with CUDA streams
Leveraging command line and visual profiling to guide and check your work
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.
Nov 25, 09h30 - University of Naples - Federico II, Dept. of Electrical Engineering and Information Technology (DIETI)
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:
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.
Dec 16, 09h30 - University of Naples - Federico II, Dept. of Electrical Engineering and Information Technology (DIETI)
Dec 12, 10h30 - University of Sannio, Dept. of Engineering
Jul 11, 09h00 - University of Salerno, Dept. of Innovation Systems
Feb 4, 09h00 - University of Ferrara, Dept. of Physics and Earth Sciences
Learn the latest deep learning techniques to understand textual input using natural language processing (NLP). You’ll learn how to:
Convert text to machine-understandable representations and classical approaches
Implement distributed representations (embeddings) and understand their properties
Train machine translators from one language to another
Upon completion, you’ll be proficient in NLP using embeddings in similar applications.
Jul 22, 09h00 - University of Salerno, Dept. of Innovation Systems
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:
Implementing deep learning workflows like image segmentation and text generation
Comparing and contrasting data types, workflows, and frameworks
Combining computer vision and natural language processing
Upon completion, you’ll be able to solve deep learning problems that require multiple types of data inputs.
Sep 16, 09h00 - University of Salerno, Dept. of Innovation Systems
Feb 05, 09h00 - University of Ferrara, Dept. of of Physics and Earth Sciences