Archives: Thesis

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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)
11NOV 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 7 – The Exponential Family (WS 20/21)
In this video, we look into further probability density and mass functions of the exponential family. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 7 – The Exponential Family (WS 20/21)
11NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Feedforward Networks – Part 3 (WS 20/21)
This video introduces the basics of the backpropagation algorithm. 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 3 (WS 20/21)
10NOV 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 6 – Logistic Function Example (WS20/21)
In this video, we combine the logistic function with the Gaussian probability density function. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 6 – Logistic Function Example (WS20/21)
10NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Feedforward Networks — Part 2 (WS 20/21)
This video introduces the topics of activation functions, loss, and the idea of gradient descent. 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 2 (WS 20/21)
09NOV 2020
News
New PhD student
Mareike Thies joined the Pattern Recognition Lab in November 2020 as a PhD candidate supervised by Prof. Andreas Maier. She will be working on a project aiming at very high-resolution imaging of bones using X-ray microscopy techniques. Mareike’s research interests are CT image reconstruction and motion compensation combining deep learning approaches and traditional algorithms. Previously, […]
Read more about New PhD student