Introduction to Deep Learning in Python

Date: 24th, 25th, 27th June 2025, Time: 09:00-12:00 each day

Location: Seminar room 0.03, Hamburg Center for Translational Immunology (HCTI), Building N25, UKE

Instructor: Dr. Behnam Yousefi, Institute of Medical Systems Bioinformatics, UKE

Language: English

Prerequisites: Experience working in Python

Description: This workshop is open to students, researchers, and clinicians keen to learn the essentials of deep learning (DL) and implementing it via Python. The aim of the course is to provide an introduction to DL especially for those who want to dive into the field of AI and use it in their projects. During the workshop, we will focus on fundamentals of DL, where to use these methods, and how to implement them in Python by practicing on real life data. Therefore, a basic knowledge of python is required. The students will also get familiarized with the Python package of Pytorch, which is the top used package for DL. The workshop will be in presence and each participant should bring their own laptop.

Topics:

• Basics of machine learning and deep learning;
• The Perceptron and the multilayer Perceptron;
• Autoencoders and embedding space;
• Convolutional neural networks;
• Model optimization and evaluation;
• More advanced topics, time allowing

Registration for this workshop will open soon.