Archives: Thesis

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06FEB 2021
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 39 – The Viola-Jones Algorithm
These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. Try it yourself! If you […]
Read more about Lecture Notes in Pattern Recognition: Episode 39 – The Viola-Jones Algorithm
06FEB 2021
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 38 – Adaboost & Exponential Loss
These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. Try it yourself! If you […]
Read more about Lecture Notes in Pattern Recognition: Episode 38 – Adaboost & Exponential Loss
06FEB 2021
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 37 – Adaboost Concept
These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. Try it yourself! If you […]
Read more about Lecture Notes in Pattern Recognition: Episode 37 – Adaboost Concept
05FEB 2021
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
Read more about Watch now: Deep Learning: Graph Deep Learning – Part 1 (WS 20/21)
04FEB 2021
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
Read more about Watch now: Deep Learning: Weakly and Self-Supervised Learning – Part 4 (WS 20/21)
03FEB 2021
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
Read more about Watch now: Deep Learning: Weakly and Self-Supervised Learning – Part 3 (WS 20/21)