Machine learning and deep learning on real world applications

Machine learning and deep learning on real world applications
In this webnar, you will get a comprehensive introduction to the revolutionary yet often misconceived technologies underlying ML and deep learning.

Machine learning and deep learning on real world applications

Deep learning and applied computer vision with industrial application: The presentation will be about deep learning and computer vision in industrial applications. Taking examples from DTU Compute research as finding faults on the railway track and improving segmentation in LabDCT images (diffraction images).

Speaker: Emil Hovad, Post Doc, DTU Compute

Organizer: Finn Gustafsson, IDA IT

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Registration procedure for the webinar:
Once you have registered you will receive a confirmation e-mail. At the bottom of this mail you will find a link to the webinar. You log in through this link and are forwarded to the site where the webinar is shown.

Should you have any problems logging in, you are welcome to contact us at: webinarsupport@ida.dk

Also check out our FAQ site where you can get answers to the most frequently asked questions in connection with webinars: FAQ about IDA webinars

Privacy info: If you would like to participate anonymously, we recommend you join by browser instead of using the Zoom software client or app, and when Zoom asks you to provide your name you can enter "Anon" or another pseudonym. Zoom processes personal information in global datacenters including USA and processing is carried out according to EU Commission standard data protection clauses. Privacy Shield. For further details, we refer you to the Zoom privacy policy available here: https://zoom.us/privacy

It is not allowed to share the zoom link or the video link with others, or to record audio and images of the webinar.

Organizer: The Danish Society of Engineers, IDA

Sign up: Not a member? In order to sign up, you must create a user profile. Note, when creating a user profile, you will be able to access IDA's online services - you will not become a member of IDA.

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When you are registered as a participant at this webinar, you will also automatically receive info about the next webinar within the same subject area. 

Information
  • When

    8. mar. 2021 16:00 - 18:00
  • Where

    Webinar - In front of your pc/tablet/phone

  • Registration Deadline

    7. mar. 2021 - 23:59

  • Organizer

    IDA IT

  • Available Seats

    314

  • Event Number

    338860