Archives: Thesis

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12JAN 2021
Deep Learning WS 20/21
Watch now: Deep Learning: Reinforcement Learning – Part 2 (WS 20/21)
This video explains the basics of reinforcement learning: The Markov Decision Process and how to compute the expected future return. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Reinforcement Learning – Part 2 (WS 20/21)
11JAN 2021
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 29 – Expectation Maximization – Introduction (WS 20/21)
In this video, we have a look at the expectation maximization algorithm using Gaussian Mixture Models. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 29 – Expectation Maximization – Introduction (WS 20/21)
11JAN 2021
Deep Learning WS 20/21
Watch now: Deep Learning: Reinforcement Learning – Part 1 (WS 20/21)
This video explains the concepts of sequential decision making and the multi-armed bandit problem. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Reinforcement Learning – Part 1 (WS 20/21)
10JAN 2021
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 24 – Duality in Optimization
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 24 – Duality in Optimization
10JAN 2021
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 23 – Support Vector Machines – 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 23 – Support Vector Machines – Concept
09JAN 2021
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 22 – Norm-dependent Gradients
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 22 – Norm-dependent Gradients