Fundamentals of Deep Learning for Computer Vision

The Alexandra Institute and NVIDIA Deep Learning Institute (DLI) offer this half-day course in deep learning with hands-on training. The course covers applications within computer vision (like object recognition and object detection) and is useful for both beginners and experts. You will learn the basics of deep learning by training and deploying neural networks with our deep learning experts. The course focuses on being able to use the techniques and offers hands-on training under expert guidance. You can ask about everything from how to start to how to move on if you are stuck. And the best part is that the next day you will be able to continue using deep learning back at work. Beginners will learn what deep learning is and discover how easy it is to get started. For experienced developers and data scientists the course is a great opportunity to network with peers and get familiar with DIGIT, which is a free and interactive tool for easy prototyping, training and deployment of deep neural networks.

Organizer
The course is organized by the Alexandra Institute and collaboration with NVIDIA – inventor of the GPU and the world’s leader in visual computing. The instructor is Henrik Pedersen, PhD, who is heading the Visual Computing Lab at Alexandra Institute. For more information, please visit https://alexandra.dk/uk/nvidiadli

Audience / Target Group
The workshop is for software developers, data scientists and managers from industry and research, who wish to be-come familiar with – and get hands-on experience with – deep learning.

Prerequisites
Participants should have basic programming skills (C/C++, Python or similar) and must bring a laptop with Google Chrome, Firefox or Safari (no special hardware like GPUs required). Prior to participation, attendees must create an account on the DLI Platform (instructions will be e-mailed a few days before the course).

Participants
15-30 participants

Time and place
Monday, April 8th at 12.30-19.00 at Room Ada 333, Åbogade 34, Katrinebjerg, 8200 Aarhus N.