Deep learning for image analysis

Overview

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Course overview

The advent of deep learning has brought a revolution in the field of computer vision, including most tasks and research questions concerned with microscopy image analysis. Neural networks have been successfully used for image restoration, classification and segmentation, for the detection of objects and characterisation of their morphology, for high-throughput imaging and large-scale processing in 3D. Despite these advances, training and deployment of such neural networks remains difficult for practitioners of image analysis. The aim of our course is to close this gap and teach the participants – in the most hands-on way possible – to apply deep learning-based methods to their own data and image analysis problems.

Participants are invited to bring their own data sets that can be used in the practical sessions.

Audience

This course is aimed at both core facility staff and research scientists.

Prerequisites for this workshop are programming skills in Python and ideally Tensorflow, Keras or Pytorch as well as basic knowledge of machine learning theory.

What past participants say about the course

“I attended the Deep Learning course and I couldn’t be happier with that decision. The venue, the instructors, the content and the organization was excellent. Social interactions were on par, definitely a great experience.” – Alberto Díez, CEMIR – NTNU, Norway

“I recently attended the ‘Deep learning for Image analysis’ course at EMBL and I cannot
express enough how immensely useful, informative and enjoyable it was. The course not only gives the participants a complete overview and understanding of existing tools and techniques through lectures given by experts in the field, but it also provides them with the opportunity to apply these techniques on their own data and scientific problem. I really appreciated the overall hands-on approach and I am extremely grateful for the trainers help throughout the practicals.” – Camille Lambert, EPFL, Switzerland

Sponsors

Sponsorship opportunities

We offer a variety of event sponsoring possibilities, with the flexibility to select a set sponsorship package or combine individual sponsorship options to suit your event budget. Discounts are available for companies sponsoring multiple events at EMBL Heidelberg. View other events, or contact sponsorship@embl.de for further information.

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