Practical Deep Learning

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We will focus on programming; however, the necessary mathematical background will be covered in the math lab as needed. 

Course materials will be based on the book Dive into Deep Learning (https://d2l.ai/), and topics will include:

• Working with data
• Linear neural networks
• Multilayer perceptrons
• Deep learning computation
• Recurrent neural networks
• Attention mechanisms
• Optimization algorithms

Prerequisites: Python programming, basic knowledge of linear algebra, calculus and probability theory are highly desirable. However, we will try to make the course as self-contained as possible.

Equipment needed:
A laptop with a browser and Internet access for programming.

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

Instructor: Alexandra Moringen
Dates: Summer Semester 2025, Thursday, 14.15-15.45 and Friday 14.15-15.45
Location: Sensorlab, 0.20, Universitätsrechenzentrum
Available seats: 12

Please register for this workshop via our online course registration.

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

 

Organization

  • Graduiertenakademie der Universität Greifswald

Location

  • Universitätsrechenzentrum
    Felix-Hausdorff-Straße 18
    17489 Greifswald