17-08-2018 18:59:17

How to Solve Problems with Deep Learning - Workshop in Aarhus

Use Deep learning to solve problems such as computer vision, speech recognition and natural language processing. This course covers applications like object recognition and object detection, and is useful for both beginners and experts.

Hvornår?

tirsdag d. 21. august 2018 KL. 09:00 - 17:30
Tilmeldingsfrist
søndag d. 19. august 2018 - 23:55
Arrangementsnummer
327703
9 ledige pladser

Hvor?

INCUBA A/S
Åbogade 15
8200 Aarhus N.

Undervisningslokale 5520-112
Arrangør: IDA IT
Medarrangører: IDA Fremtidsteknologi, IT Gruppen, IDA Østjylland
arrangementsbillede
One-day course: Deep learning

In this hands-on course, you will learn the basics of deep learning by training and deploying neural networks.

Beginners will learn what deep learning is and discover how easy it is to get started.

Experienced developers or data scientists will learn to use and appreciate DIGIT, which is a free and interactive tool for easy prototyping, training and deployment of deep neural networks.

You will 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.

After completing the course, you will receive a certificate from NVIDIA DLI.

Instructor

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.

Agenda
  • 9:00 - Deep Learning Demystified and Applied Deep Learning (lecture)
  • 9:45 - Break
  • 10:00 - Image Classification with DIGITS (lab*)
  • 12:00 - Lunch
  • 13:00 - Object Detection with DIGITS (lab*)
  • 15:00 - Break
  • 15:15 - Neural Network Deployment with DIGITS and TensorRT (lab*)
  • 17:30 - End
Why deep learning is so popular and in demand

Deep learning is popular right now because it is easy and it works.

Traditional machine learning uses handwritten feature extraction and modality-specific machine learning algorithms to label images or recognise voices. That is a lot of work, and you need to be a machine learning expert!!!

Today’s advanced deep neural networks use algorithms, big data and the computational power of the GPU to change this dynamic. You do not need to be an expert to get started with deep learning. All you need is data.

* Please note that attendees MUST bring their own laptops.

Prerequisites: Programming skills (C/C++, Python or similar)
Duration: 8 hours
Framework: Caffe, NVIDIA DIGITS™
Language: English

If you have any questions, please send an e-mail to henrik.pedersen@alexandra.dk

For registration purposes your contact information will be shared with the Alexandra Institute. This workshop is organised by The Alexandra Institute and NVIDIA Deep Learning Institute (DLI).

Tilmeld

Kommende arrangementer
fra IDA IT

20 aug.
Tag dit eget Big Data Lab med hjem
  • DTU Diplom, Ballerup
  • mandag d. 20. august kl. 16:00
21 aug.
How to Solve Problems with Deep Learning - Workshop in Aarhus
  • INCUBA A/S , Aarhus N.
  • tirsdag d. 21. august kl. 09:00
28 aug.
RPA Foundation – København
  • Tivoli Hotel & Congress Center, København V
  • tirsdag d. 28. august kl. 09:00
28 aug.
Recommender systems and Machine Learning – Practical Considerations
  • EY Huset, Aarhus C
  • tirsdag d. 28. august kl. 17:00
29 aug.
IDA IT: Recommender systems and Machine Learning – Practical Considerations
  • IDA Mødecenter, København V
  • onsdag d. 29. august kl. 17:00
Se alle kommende arrangementer fra IDA IT

Netværk

Få højt specialiseret viden og rabat på arrangementer, som medlem af IDAs 40 fagtekniske netværk.

Meld dig ind i et netværk

luk
close