Speakers
Dagmar Kainmüller
(MDC Berlin)
Helmholtz Imaging
Description
based on python, follow-up to the course by Paul Jäger on September 15, 2022.
The course will build on the introduction to convolutional neural networks in Imaging by Paul Jäger, and will cover essential rules for designing your own networks, in particular when dealing with large image data. You will get hands-on experience in setting up and training your own networks for image analysis tasks like images classification and image segmentation.
The number of participants is limited to 20.
→ Register here ←
| Target audience | no specific |
|---|---|
| Learning target | Hands-on experience in setting up and training your own networks for image analysis tasks. |
| Previous experience | Python; the course is a follow up on the "Machine Learning-Based Biomedical Image Analysis" course by Paul Jäger, google account (we use GoogleColab) |
| Maximum number of participants | 20 |
