Thesis category: MA thesis

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08JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Feedforward Networks – Part 3
The Backpropagation Algorithm 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. […]
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07JUL 2020
News
BR Fernsehen – Abendschau Feature
Today a BR film crew came to the lab and shot a feature for the “Abendschau” about our work on handwriting imitation . We demonstrated in detail how one’s handwriting can automatically be synthesized. It was broadcast on BR Fernsehen Monday 20th of July in the “Abendschau” and can now be watched in the mediathek […]
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07JUL 2020
Research Demo Videos
Browsing through Sealed Historical Manuscripts by using 3-D Computed Tomography with Low-brilliance X-ray Sources
Daniel Stromer, Vincent Christlein, Christine Martindale, Patrick Zippert, Eric Haltenberger, Tino Hausotte & Andreas Maier Severely damaged historical documents are extremely fragile. In many cases, their secrets remain concealed beneath their cover. Recently, non-invasive digitization approaches based on 3-D scanning have demonstrated the ability to recover single pages or letters without the need to open […]Daniel Stromer, Vincent Christlein, Christine Martindale, Patrick Zippert, Eric Haltenberger, Tino Hausotte & Andreas Maier Severely damaged historical documents are extremely fragile. In many cases, their secrets remain concealed beneath their cover. Recently, non-invasive digitization approaches based on 3-D scanning have demonstrated the ability to recover single pages or letters without the need to open […]
Read more about Browsing through Sealed Historical Manuscripts by using 3-D Computed Tomography with Low-brilliance X-ray Sources
07JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Feedforward Networks – Part 2
How can Networks actually be trained? 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 […]
Read more about Lecture Notes in Deep Learning: Feedforward Networks – Part 2
06JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Feedforward Networks – Part 1
Why do we need 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 […]
Read more about Lecture Notes in Deep Learning: Feedforward Networks – Part 1
05JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Introduction – Part 5
Exercise Details & Outlook 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: Introduction – Part 5