Andreas Maier

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16NOV 2020
News
Invited Talk – “Deep learning for Automatic Detection of Cardiovascular Disease in CT and MR exams” by Ivana Isgum, University of Amsterdam, Nov 17th, 2020, 14h CET
It is a great pleasure to announce an invited talk by Ivana Isgum from the University of Amsterdam on her great research in the field of Machine Learning and Medical Imaging: Title: Deep learning for automatic detection of cardiovascular disease in CT and MR exams Prof. Dr. Ivana Išgum, UMC Amsterdam, University of Amsterdam Date& Time: 17.11.2020 14hhttps://fau.zoom.us/j/97278873496?pwd=WU0rcDd1WG1leHhEeUpJNWNoS2hxdz09 Abstract: […]It is a great pleasure to announce an invited talk by Ivana Isgum from the University of Amsterdam on her great research in the field of Machine Learning and Medical Imaging: Title: Deep learning for automatic detection of cardiovascular disease in CT and MR exams Prof. Dr. Ivana Išgum, UMC Amsterdam, University of Amsterdam Date& Time: 17.11.2020 14hhttps://fau.zoom.us/j/97278873496?pwd=WU0rcDd1WG1leHhEeUpJNWNoS2hxdz09 Abstract: […]
Read more about Invited Talk – “Deep learning for Automatic Detection of Cardiovascular Disease in CT and MR exams” by Ivana Isgum, University of Amsterdam, Nov 17th, 2020, 14h CET
16NOV 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 9 – Logistic Regression – Function Fit (WS 20/21)
In this video, we learn how to estimate the parameters of the logistic function effectively. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 9 – Logistic Regression – Function Fit (WS 20/21)
16NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Loss and Optimization – Part 2 (WS 20/21)
This video explains hinge loss and its relation to support vector machines. We also show why sub-gradients allow us to optimize factions that are not continuously differentiable. Furthermore, the hinge loss enables to embed optimization constraints into loss functions. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Loss and Optimization – Part 2 (WS 20/21)
13NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Loss and Optimization – Part 1 (WS 20/21)
This video explains how to derive L2 Loss and Cross-Entropy Loss from statistical assumptions. Highly relevant for the exam! Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Loss and Optimization – Part 1 (WS 20/21)
12NOV 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 8 – Logistic Regression – Loss Function (WS 20/21)
In this video, we look into the actual logistic regression and how to formulate the optimization problem. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 8 – Logistic Regression – Loss Function (WS 20/21)
12NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Feedforward Networks – Part 4 (WS 20/21)
This video explains backpropagation at the level of layer abstraction. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Feedforward Networks – Part 4 (WS 20/21)