Neural Networks and Deep Learning

Graduiertenakademie
Es ist ein Ausschnitt einer weißen Tastatur zu sehen.
© Jan Hilgendorf/UG

In this course you will get practical knowledge to perform general machine learning and, in particular, computer vision tasks, such as telling dogs from cats and wolves on photos. We will give the necessary theoretical background to troubleshoot when transferring the knowledge to solve own problems. The class will be hands-on and interactive.

• This course is open to all interested members of the university (students & scientific staff)
• Course language is English

Covered topics include
• Stochastic Gradient Descent
• Linear Regression
• Fully-Connected Neural Networks
• Convolutional Neural Networks for Images
• Convolutional Neural Networks for (Biological) Sequences

Prerequisites:
• Basic programming skills in any language
• Basic calculus (derivatives) and linear algebra (matrix multiplication).
• Some familiarity with NumPy syntax. This can be acquired with the course "Python from Zero", or, at minimum, by self-studying exercise sheet 0, that takes about 2 hours.

You need an account at University of Greifswald. The course will be in English.

Instructor: Mario Stanke
Dates: 09.03.2026 - 10.03.2026, 9:00 am - 04:00 pm
Location: RTK, Wollweberstraße 1
Maximal number of participants: 26

To participate, please register for the lecture series via this link.

Contact
Graduiertenakademie der Universität Greifswald
Domstraße 11, Eingang 4, Raum 3.24, 17489 Greifswald
Telefon +49 3834 420 1618
graduiertenakademieuni-greifswaldde

 

Organisator

  • Graduiertenakademie der Universität Greifswald

Veranstaltungsort

  • Rechentechnisches Kabinett (RTK)
    Wollweberstraße 1
    17489 Greifswald
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