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In this hands-on course, you will learn the basics of deep learning by training and deploying neural networks.
You will learn how to:
Upon completion, you will be able to start solving problems on your own with deep learning.
Prerequisites: Programming skills (C/C++, Python or similar)
Duration: 8 hours
Framework: Caffe, NVIDIA DIGITS™
Henrik Pedersen (PhD) is a Senior Computer Vision Engineer at the Alexandra Institute. Over his career, Henrik has been in various academic positions, covering research and teaching in computer vision and deep learning. His interests lie in exploring deep learning techniques for object detection and recognition using photorealistic, synthetic images for training. Henrik is an experienced educator and has played a key role in building up the vibrant deep learning community at the Alexandra Institute.
|9:00||Deep Learning Demystified and Applied Deep Learning (lecture)|
|10:00||Image Classification with DIGITS (lab*)|
|13:00||Object Detection with DIGITS (lab*)|
|17:15||Neural Network Deployment with DIGITS and TensorRT (lab*)|
* Please note that attendees MUST bring their own laptops.
This workshop is brought to you by:
Organised by NVIDIA Deep Learning Institute and the Alexandra Institute