Andreas Maier

211 to 189 of 189

16DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Recurrent Neural Networks – Part 3 (WS 20/21)
This video discusses Long-Short-Term Memory Units. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Recurrent Neural Networks – Part 3 (WS 20/21)
15DEC 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 26 – Mercer’s Theorem and the Kernel SVM (WS 20/21)
In this video, we look at kernels for Support Vector Machines and the Perceptron and learn about Mercer’s Theorem. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 26 – Mercer’s Theorem and the Kernel SVM (WS 20/21)
15DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Recurrent Neural Networks – Part 2 (WS 20/21)
This video discusses the training of simple RNNs using the backpropagation through time algorithm. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Recurrent Neural Networks – Part 2 (WS 20/21)
14DEC 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 25 – Support Vector Machines – Optimization (WS 20/21)
In this video, we see how strong duality helps us with the support vector machine optimization. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 25 – Support Vector Machines – Optimization (WS 20/21)
14DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Recurrent Neural Networks – Part 1 (WS 20/21)
This video introduces the topic of recurrent neural networks and the Elman Cell. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Recurrent Neural Networks – Part 1 (WS 20/21)
13DEC 2020
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 16 – Regularized Regression
These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition“. 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 it yourself! If you […]
Read more about Lecture Notes in Pattern Recognition: Episode 16 – Regularized Regression