Archives: Thesis

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13JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Activations, Convolutions, and Pooling – Part 1
Classical Activations These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. 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. If […]
Read more about Lecture Notes in Deep Learning: Activations, Convolutions, and Pooling – Part 1
12JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Loss and Optimization – Part 3
Optimization with ADAM and beyond… These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. 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 […]
Read more about Lecture Notes in Deep Learning: Loss and Optimization – Part 3
11JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Loss and Optimization – Part 2
Do SVMs beat Deep Learning? These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. 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 […]
Read more about Lecture Notes in Deep Learning: Loss and Optimization – Part 2
10JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Loss and Optimization – Part 1
Classification and Regression Losses These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. 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 […]
Read more about Lecture Notes in Deep Learning: Loss and Optimization – Part 1
09JUL 2020
Research Demo Videos
X-Ray Material Decomposition
Authors: Maier, A., Schebesch, F., Syben, C., Würfl, T., Steidl, S., Choi, J. H., & Fahrig, R. In this paper, we consider the use of prior knowledge within neural networks. In particular, we investigate the effect of a known transform within the mapping from input data space to the output domain. We demonstrate that the […]
Read more about X-Ray Material Decomposition
09JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Feedforward Networks – Part 4
Layer Abstraction These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. 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. If […]
Read more about Lecture Notes in Deep Learning: Feedforward Networks – Part 4