Potsdam Hands-on AI Workshop: Introduction to Deep Learning

Overview

Artificial Intelligence techniques like deep learning are introducing automation to the products we build and the way we do research. These techniques can be used to solve complex problems related to images, signals, text and more. Deep learning can achieve state-of-the-art accuracy in many human-like tasks, such as naming objects in an image or categorizing audio signals. The main tasks involved in deep learning are to assemble large data sets, create a neural network, to train, visualize, and evaluate different models, using specialized hardware - often requiring unique programming knowledge. These tasks are frequently even more challenging because of the complex theory behind them.

In this hands-on lab, you will write code and use MATLAB® Online™ to
- Train deep neural networks on GPUs in the cloud.
- Create deep learning models from scratch for image and signal data.
- Explore pretrained models and use transfer learning.
- Perform classification tasks on images and signals

While exercises will focus on broadly accessible examples such as images and ECG signals, we will discuss applications from diverse domains, including finance, geoscience, healthcare, and neuroscience, to illustrate the wide-ranging applicability of deep learning.

To participate in this workshop, you will need a MathWorks® account (create MathWorks account)

Who Should Attend

This workshop is ideal for individuals and teams working in scientific, technical, or interdisciplinary domains who are curious about applying deep learning to their data. Whether you are involved in life sciences, geoscience, finance, or related fields, you will gain practical experience with techniques and tools that can support your own research, analysis, and innovation. The content is accessible to participants with basic programming knowledge, and no prior experience with deep learning is required.

About the Presenter

Dr. Kathi Kugler is part of the Academia team at MathWorks where she mainly works with scientists to support with AI projects.

Prior to joining MathWorks, Kathi was working as researcher in the Neuroscience department of LMU Munich, exploring the mammalian auditory system.