Andreas Maier

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07AUG 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Visualization & Attention – Part 3
Direct Visualization Methods 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. […]
Read more about Lecture Notes in Deep Learning: Visualization & Attention – Part 3
06AUG 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Visualization & Attention – Part 2
Confounders & Adversarial Attacks 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: Visualization & Attention – Part 2
05AUG 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Visualization & Attention – Part 1
Architecture & Training Visualization 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: Visualization & Attention – Part 1
04AUG 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Recurrent Neural Networks – Part 5
Sequence Generation 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. Try […]
Read more about Lecture Notes in Deep Learning: Recurrent Neural Networks – Part 5
03AUG 2020
News
Congratulations to Dr. Jaremenko!
It’s a great pleasure to announce that Christian Jaremenko passed his doctoral defense successfully on July 30th 2020! Therefore, we take this opportunity to congratulate him to his outstanding presentation on Determination of Sheet Metal Forming Limits using Machine Learning and his many contributions to the state-of-the-art to sheet metal forming characterization using pattern recognition […]It’s a great pleasure to announce that Christian Jaremenko passed his doctoral defense successfully on July 30th 2020! Therefore, we take this opportunity to congratulate him to his outstanding presentation on Determination of Sheet Metal Forming Limits using Machine Learning and his many contributions to the state-of-the-art to sheet metal forming characterization using pattern recognition […]
Read more about Congratulations to Dr. Jaremenko!
03AUG 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Recurrent Neural Networks – Part 4
Gated Recurrent Units 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. […]
Read more about Lecture Notes in Deep Learning: Recurrent Neural Networks – Part 4