Andreas Maier

241 to 191 of 191

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)
30NOV 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 17 – Norms and Unit Balls (WS 20/21)
In this video, we introduce norms on matrices and vectors and the corresponding unit balls. Watch on:FAU TVYouTube
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30NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Regularization – Part 5 (WS 20/21)
This video discusses multi-task learning. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Regularization – Part 5 (WS 20/21)