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23JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Common Practices – Part 2
Hyperparameters and Ensembling 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: Common Practices – Part 2
22JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Common Practices – Part 1
Optimizers & Learning Rates 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: Common Practices – Part 1
21JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Regularization – Part 5
Multi-task 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 were performed. If […]
Read more about Lecture Notes in Deep Learning: Regularization – Part 5
20JUL 2020
News
Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors
Written by Prathmesh Madhu Contribution Inspired from the pioneer work of Max Imdahl [1], our work focuses on generating image composition canvas (ICC) diagrams based on two central themes: (a) detection of action regions and action lines of an artwork (b) pose-based segmentation of foreground and background. In order to validate our approach qualitatively and quantitatively, we conduct a […]Written by Prathmesh Madhu Contribution Inspired from the pioneer work of Max Imdahl [1], our work focuses on generating image composition canvas (ICC) diagrams based on two central themes: (a) detection of action regions and action lines of an artwork (b) pose-based segmentation of foreground and background. In order to validate our approach qualitatively and quantitatively, we conduct a […]
Read more about Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors
20JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Regularization – Part 4
Initialization & Transfer 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 were […]
Read more about Lecture Notes in Deep Learning: Regularization – Part 4
19JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Regularization – Part 3
Normalization & Dropout 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: Regularization – Part 3