Andreas Maier

223 to 189 of 189

10DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Architectures – Part 4 (WS 20/21)
This video demonstrates the many uses of residual connections in deep networks from Inception-ResNet to DenseNet. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Architectures – Part 4 (WS 20/21)
09DEC 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 23 – Support Vector Machines – Concept (WS 20/21)
In this video, we explain the basic concept of the support vector machine. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 23 – Support Vector Machines – Concept (WS 20/21)
09DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Architectures – Part 3 (WS 20/21)
This video discusses the ideas of residual connections in deep networks that allow going from 20 to more than 1000 layers. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Architectures – Part 3 (WS 20/21)
08DEC 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 22 – Norm-dependent Gradients (WS 20/21)
In this video, we look at how norms alter gradient directions during optimization. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 22 – Norm-dependent Gradients (WS 20/21)
08DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Architectures – Part 2 (WS 20/21)
This video discusses the success of deeper models including Inception V2 and V3. One key technology that is introduced in V3 is label smoothing regularization. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Architectures – Part 2 (WS 20/21)
07DEC 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 21 – Gradient Descent and Back-tracking Line Search (WS 20/21)
In this video, we look into optimization using gradient descent and back-tracking line search. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 21 – Gradient Descent and Back-tracking Line Search (WS 20/21)