Lecture Videos

Watch now: Deep Learning: Visualization & Attention – Part 2 (WS 20/21)

This video motivates why we need visualization techniques. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

December 22, 2020 Kategorie: Deep Learning WS 20/21

Watch now: Deep Learning: Visualization & Attention – Part 1 (WS 20/21)

This video introduces visualization for architectures and monitoring training. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

December 21, 2020 Kategorie: Deep Learning WS 20/21

Watch now: Deep Learning: Recurrent Neural Networks – Part 5 (WS 20/21)

This video explains sequence generation using RNNs. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

December 18, 2020 Kategorie: Deep Learning WS 20/21

Watch now: Pattern Recognition: Episode 28 – Laplacian Support Vector Machines (WS 20/21)

In this video, we introduce the Laplacian SVM. Watch on:FAU TVYouTube

December 17, 2020 Kategorie: Pattern Recognition WS 20/21

Watch now: Deep Learning: Recurrent Neural Networks – Part 4 (WS 20/21)

This video discusses Gated Recurrent Units and compares them to Elman and LSTM Cells. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

December 17, 2020 Kategorie: Deep Learning WS 20/21

Watch now: Pattern Recognition: Episode 27 – Kernel PCA and Sequence Kernels (WS 20/21)

In this video, we look at the Kernel PCA and advanced kernels such as sequence kernels. Watch on:FAU TVYouTube

December 16, 2020 Kategorie: Pattern Recognition 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

December 16, 2020 Kategorie: Deep Learning 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

December 15, 2020 Kategorie: Pattern Recognition 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

December 15, 2020 Kategorie: Deep Learning 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

December 14, 2020 Kategorie: Pattern Recognition WS 20/21