Andreas Maier

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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
09JAN 2021
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 21 – Gradient Descent and Back-tracking Line Search
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 21 – Gradient Descent and Back-tracking Line Search
08JAN 2021
News
Invited Talk by Markus Haltmeier, Univ. Insbruck, Jan 13th 2021, 14h CET
It is a great pleasure to welcome Prof. Dr. Markus Haltmeier at our lab next week! Title: Learned Analysis and Synthesis Regularisation of Inverse ProblemsDate: Jan 13th 2021, 14h CETLocation: https://fau.zoom.us/j/92450392476?pwd=WnVKSWJ4V3pMck1CZUlvVVREelYzZz09 Abstract: Inverse problems consist of finding accurate approximations for the unknown. Unknown x from noisy data y = A (x) + b, where A […]It is a great pleasure to welcome Prof. Dr. Markus Haltmeier at our lab next week! Title: Learned Analysis and Synthesis Regularisation of Inverse ProblemsDate: Jan 13th 2021, 14h CETLocation: https://fau.zoom.us/j/92450392476?pwd=WnVKSWJ4V3pMck1CZUlvVVREelYzZz09 Abstract: Inverse problems consist of finding accurate approximations for the unknown. Unknown x from noisy data y = A (x) + b, where A […]
Read more about Invited Talk by Markus Haltmeier, Univ. Insbruck, Jan 13th 2021, 14h CET
25DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Visualization & Attention – Part 5 (WS 20/21)
This video explains the concepts of attention in 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: Visualization & Attention – Part 5 (WS 20/21)
24DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning – Christmas Special: Will we ever have consciousness in the machine?
This is a video for everybody who is also interested in more philosophical topics such as conscious and self-aware machines. We did a small review of the state-of-the-art and present what we found. Watch on:FAU TVYouTube Read the Paper at:ArxivFrontiers on Computational Neuroscience
Read more about Watch now: Deep Learning – Christmas Special: Will we ever have consciousness in the machine?
24DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Visualization & Attention – Part 4 (WS 20/21)
This video introduces gradient and optimization based visualization. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Visualization & Attention – Part 4 (WS 20/21)