Andreas Maier

217 to 191 of 191

14DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Recurrent Neural Networks – Part 1 (WS 20/21)
This video introduces the topic of recurrent neural networks and the Elman Cell. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Recurrent Neural Networks – Part 1 (WS 20/21)
13DEC 2020
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 16 – Regularized Regression
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 16 – Regularized Regression
13DEC 2020
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 15 – LDA – Examples
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 15 – LDA – Examples
12DEC 2020
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 14 – LDA – Original Formulation
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 14 – LDA – Original Formulation
12DEC 2020
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 13 – LDA – Rank-Reduced Form
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 13 – LDA – Rank-Reduced Form
11DEC 2020
News
Invited Talk by Mathias Unberath, Johns Hopkins University @JHUCompSci, Mon. Dec 14th, 16h
It’s a great pleasure to welcome Prof. Dr. Mathias Unberath back to FAU. This Monday, he will present his newest works to us! Title: Bridging Domains in Medical Imaging — Differentiable Mappings Between 2- and 3-Dimensional Data DomainsDate: Monday, December 14th, 16hLocation: https://fau.zoom.us/j/98207594739?pwd=T0lSeGxPOXVQQTkrTWI3djV0eDZjdz09 Abstract: Differentiably connecting 2- and 3-dimensional domains is of substantial interest in […]It’s a great pleasure to welcome Prof. Dr. Mathias Unberath back to FAU. This Monday, he will present his newest works to us! Title: Bridging Domains in Medical Imaging — Differentiable Mappings Between 2- and 3-Dimensional Data DomainsDate: Monday, December 14th, 16hLocation: https://fau.zoom.us/j/98207594739?pwd=T0lSeGxPOXVQQTkrTWI3djV0eDZjdz09 Abstract: Differentiably connecting 2- and 3-dimensional domains is of substantial interest in […]
Read more about Invited Talk by Mathias Unberath, Johns Hopkins University @JHUCompSci, Mon. Dec 14th, 16h