Archives: Thesis

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20JAN 2021
Deep Learning WS 20/21
Watch now: Deep Learning: Unsupervised Learning – Part 3 (WS 20/21)
In this video, we talk about the basic ideas of Generative Adversarial Networks (GANs) and show some examples. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Unsupervised Learning – Part 3 (WS 20/21)
19JAN 2021
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 34 – Measures of Non-Gaussianity (WS 20/21)
In this video, we discuss three measures to determine “non-gaussianity”. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 34 – Measures of Non-Gaussianity (WS 20/21)
19JAN 2021
Deep Learning WS 20/21
Watch now: Deep Learning: Unsupervised Learning – Part 2 (WS 20/21)
In this video, we show fundamental concepts of autoencoders (AEs) ranging from undercomplete and sparse AEs, over stacked and denoising AEs all the way to Variational Autoencoders. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Unsupervised Learning – Part 2 (WS 20/21)
18JAN 2021
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 33 – Independent Component Analysis and Gaussianity (WS 20/21)
In this video, we discuss the importance of non-gaussianity for the extraction of independent components. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 33 – Independent Component Analysis and Gaussianity (WS 20/21)
18JAN 2021
Deep Learning WS 20/21
Watch now: Deep Learning: Unsupervised Learning – Part 1 (WS 20/21)
In this video, we introduce the topic of unsupervised learning and start looking at Restricted Boltzmann Machines as one of the first approaches for Unsupervised Deep 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: Unsupervised Learning – Part 1 (WS 20/21)
17JAN 2021
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 28 – Laplacian Support Vector Machines
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 28 – Laplacian Support Vector Machines