Person Type: Students

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17NOV 2020
News
New PhD student
After her Master’s studies in Computer Science, Nora Gourmelon joined the Pattern Recognition Lab mid of November 2020 as a PhD candidate supervised by Prof. Andreas Maier. She will be working in the Emerging Field Initiative Project “Tapping the potential of Earth Observation”. Nora’s research interests lie in the application of machine and deep learning […]
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17NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Loss and Optimization – Part 3 (WS 20/21)
This video discusses details on optimization and different options in gradient descent procedure such as momentum and ADAM. 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 3 (WS 20/21)
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)