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)
• It's an online course
• Course language is English
Covered topics include
• Stochastic Gradient Descent
• Linear Regression with TensorFlow
• 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"
(February 19th to 21st), 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.
Trainer: Mario Stanke
Dates: Monday, 10.03.2025, to Wednesday, 12.03.2025, from 9-16:00 pm
Location: RTK, Wollweberstraße 1
Maximal number of participants: 30
To participate please register for each session via the Graduate Academy.
Contact
Graduiertenakademie der Universität Greifswald
Domstraße 11, Eingang 4, Raum 3.24, 17489 Greifswald
Telefon +49 3834 420 1618
graduiertenakademieuni-greifswaldde