Thesis category: MA thesis

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16JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Activations, Convolutions, and Pooling – Part 4
Pooling Mechanisms 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 4
15JUL 2020
Competitions
HisFragIR20 – ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments
This competition investigates the performance of large-scale retrieval of historical document fragments based on writer recognition. The analysis of historic fragments is a difficult challenge commonly solved by trained humanists. To simulate fragments, we extract random text patches from historical document images. The goal is then to find similar patches of the same page or […]
Read more about HisFragIR20 – ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments
15JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Activations, Convolutions, and Pooling – Part 3
Convolutional Layers 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 3
14JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Activations, Convolutions, and Pooling – Part 2
Modern 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 2
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