Deep Learning WS 20/21

Watch now: Deep Learning: Known Operator Learning – Part 4 (WS 20/21)

This video introduces the topic of Deep Learning by showing several well-This is the final video of the class in which we present more applications of known operator learning. Furthermore, the video also contains my personal interpretation of where the field is heading and what kind of research wil...

February 12, 2021 Kategorie: Deep Learning WS 20/21

Watch now: Deep Learning: Known Operator Learning – Part 3 (WS 20/21)

In this video, we show how known operator learning can be applied to computed tomography. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

February 11, 2021 Kategorie: Deep Learning WS 20/21

Watch now: Deep Learning: Known Operator Learning – Part 2 (WS 20/21)

In this video, we show the theoretical foundations of known operator learning and how to derive maximal error bounds. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

February 10, 2021 Kategorie: Deep Learning WS 20/21

Watch now: Deep Learning: Known Operator Learning – Part 1 (WS 20/21)

In this video, we ask ourselves whether we can find means to make deep learning a little safer, e.g. for medical applications. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

February 9, 2021 Kategorie: Deep Learning WS 20/21

Watch now: Deep Learning: Graph Deep Learning – Part 2 (WS 20/21)

In this video, we demonstrate how to go from spectral to spatial domain in graphs. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

February 8, 2021 Kategorie: Deep Learning WS 20/21

Watch now: Deep Learning: Graph Deep Learning – Part 1 (WS 20/21)

In this video, we introduce spectral representations of graphs. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

February 5, 2021 Kategorie: Deep Learning WS 20/21

Watch now: Deep Learning: Weakly and Self-Supervised Learning – Part 4 (WS 20/21)

In this video, we look into contrastive losses and how they can be used in combination with self-supervised learning. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

February 4, 2021 Kategorie: Deep Learning WS 20/21

Watch now: Deep Learning: Weakly and Self-Supervised Learning – Part 3 (WS 20/21)

In this video, we look into the fundamental concepts of self-supervised learning. In particular, we look at different strategies to create surrogate labels from data automatically. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

February 3, 2021 Kategorie: Deep Learning WS 20/21

Watch now: Deep Learning: Weakly and Self-Supervised Learning – Part 2 (WS 20/21)

In this video, we discuss weak supervision and how to go from 2D to 3D. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

February 2, 2021 Kategorie: Deep Learning WS 20/21

Watch now: Deep Learning: Weakly and Self-Supervised Learning – Part 1 (WS 20/21)

In this video, we discuss weak supervision and demonstrate how to create class activation maps for localization and how to get from bounding boxes to pixel segmentation. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

February 1, 2021 Kategorie: Deep Learning WS 20/21