Andreas Maier

229 to 234 of 396

03DEC 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 20 – Multi-layer Perceptron (WS 20/21)
In this video, we have a short introduction to the multi-layer perceptron. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 20 – Multi-layer Perceptron (WS 20/21)
03DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Common Practices – Part 3 (WS 20/21)
This video discusses the problem of class imbalance and how to compensate for it. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Common Practices – Part 3 (WS 20/21)
02DEC 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 19 – Rosenblatt Perceptron (WS 20/21)
In this video, we introduce the Rosenblatt Perceptron and perform a convergence analysis. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 19 – Rosenblatt Perceptron (WS 20/21)
02DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Common Practices – Part 2 (WS 20/21)
This video discusses the use of validation data and how to choose architectures and hyperparameters and discuss ensembling. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Common Practices – Part 2 (WS 20/21)
01DEC 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 18 – Norm-dependent Regression (WS 20/21)
In this video, we show the effects of norm-dependent regression. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 18 – Norm-dependent Regression (WS 20/21)
01DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Common Practices – Part 1 (WS 20/21)
This video discusses the use of validation data and how to choose optimizers, monitor weights, and set learning rates including their annealing. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Common Practices – Part 1 (WS 20/21)