Andreas Maier

259 to 189 of 189

22NOV 2020
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 4 – Basics – The Optimal Classifier
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 4 – Basics – The Optimal Classifier
22NOV 2020
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 3 – Basics – Bayes Theorem
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 3 – Basics – Bayes Theorem
21NOV 2020
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 2 – Pattern Recognition Postulates
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 2 – Pattern Recognition Postulates
21NOV 2020
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 1 – Introduction
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 1 – Introduction
20NOV 2020
News
Invited Talk “Medical image analysis in the era of deep learning: from performance to challenging the alchemist within”- Prof. Dr. Mauricio Reyes, University of Bern, Nov 26th 2020, 11 AM
It is a great pleasure to announce this invited talk by Mauricio Reyes from the University Hospital of Bern. Title: Medical image analysis in the era of deep learning: from performance to challenging the alchemist withinDate: Nov 26th 2020, 11 AMLocation: https://fau.zoom.us/j/91041572053?pwd=KzkwTUU2MHNrV3JTYmxtOFowZFZSUT09 Abstract: In this talk, Dr. Reyes will present our experience in the area […]It is a great pleasure to announce this invited talk by Mauricio Reyes from the University Hospital of Bern. Title: Medical image analysis in the era of deep learning: from performance to challenging the alchemist withinDate: Nov 26th 2020, 11 AMLocation: https://fau.zoom.us/j/91041572053?pwd=KzkwTUU2MHNrV3JTYmxtOFowZFZSUT09 Abstract: In this talk, Dr. Reyes will present our experience in the area […]
Read more about Invited Talk “Medical image analysis in the era of deep learning: from performance to challenging the alchemist within”- Prof. Dr. Mauricio Reyes, University of Bern, Nov 26th 2020, 11 AM
20NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Activations, Convolutions, and Pooling – Part 3 (WS 20/21)
This video presents convolutional layers including the concepts of strided and dilated convolutions and how to compute their gradient. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Activations, Convolutions, and Pooling – Part 3 (WS 20/21)