Summary of the Summer Term 2020. Photo by Luis Rocha on Unsplash

FAU LECTURE NOTES ON DEEP LEARNING

In Comprehensive Videos & Blog Posts

Corona was a huge challenge for many of us and affected our lives in a variety of ways. I have been teaching a class on Deep Learning at Friedrich-Alexander-University Erlangen Nuremberg, Germany for several years now. This summer, our university decided to go “virtual” completely. Therefore, I started recording my lecture in short clips fo 15 minutes each.


Photo by Denny Müller on Unsplash

Wir durchleben gerade die größte Krise in der Geschichte der Bundesrepublik Deutschland. Um erfolgreich durch COVID zu kommen hat unsere Regierung vielfach auf zentralisierte staatliche Maßnahmen gesetzt, um das Leben in unserem Land wieder auf geregelte Bahnen zu bringen. Über den Erfolg der Maßnahmen und deren negative Effekte wird heftig debattiert. Auch schon leichte Kritik an unserer Corona-Politik kann zu massiven Diffamierungen in der Öffentlichkeit führen, wie die Ereignisse um Jan Josef Liefers zeigten. Durch solche Vorgänge verschwinden die Grautöne in unserer Medienlandschaft. Während der Pandemie hat sich eine Vielzahl an Beispielen angesammelt, an denen man diesen Effekt deutlich machen…


Lecture Notes in Pattern Recognition

The Viola-Jones Algorithm

Image under CC BY 4.0 from the Pattern Recognition Lecture.

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!

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Welcome back to Pattern Recognition. Today we want to have the last video of our lecture and we actually want to look into an application of…


FAU Lecture Notes in Pattern Recognition

Adaboost & Exponential Loss

Image under CC BY 4.0 from the Pattern Recognition Lecture.

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!

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Welcome back to Pattern Recognition. Today we want to continue looking into AdaBoost and in particular, we want to see the relation between…


FAU Lecture Notes in Pattern Recognition

The Concept of Adaboost

Image under CC BY 4.0 from the Pattern Recognition Lecture.

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!

Navigation

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Welcome back to Pattern Recognition. Today we want to look into a particular class of classification algorithms and these are boosting algorithms that…


FAU Lecture Notes in Pattern Recognition

Performance Measures on Finite Data

Image under CC BY 4.0 from the Pattern Recognition Lecture.

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!

Navigation

Previous Chapter / Watch this Video / Next Chapter / Top Level

Welcome back to Pattern Recognition! Today we want to look a bit more into model assessment. And then particularly, we want to know…


FAU Lecture Notes in Pattern Recognition

No Free Lunch Theorem & Bias-Variance Trade-off

Image under CC BY 4.0 from the Pattern Recognition Lecture

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!

Navigation

Previous Chapter / Watch this Video / Next Chapter / Top Level

Welcome back to Pattern Recognition. Today we want to look a bit into model assessment and in particular, we want to talk about…


FAU Lecture Notes in Pattern Recognition

Measures of Non-Gaussianity

Image under CC BY 4.0 from the Pattern Recognition Lecture

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!

Navigation

Previous Chapter / Watch this Video / Next Chapter / Top Level

Welcome back to Pattern Recognition! Today we want to explore a little bit more ideas about the independent component analysis ICA. We’ve seen…


FAU Lecture Notes in Pattern Recognition

Independent Component Analysis and Gaussianity

Image under CC BY 4.0 from the Pattern Recognition Lecture

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!

Navigation

Previous Chapter / Watch this Video / Next Chapter / Top Level

Welcome back to Pattern Recognition. Today we want to look a bit more into the Independent Component Analysis and in particular, we want…


FAU Lecture Notes in Pattern Recognition

An Introduction to the Independent Component Analysis

Image under CC BY 4.0 from the Pattern Recognition Lecture

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!

Navigation

Previous Chapter / Watch this Video / Next Chapter / Top Level

Welcome back to Pattern Recognition! Today we want to start looking into a special feature transform that is called the Independent Component Analysis…

Andreas Maier

I do research in Machine Learning. My positions include being Prof @FAU_Germany, President @DataDonors, and Board Member for Science & Technology @TimeMachineEU

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