Pattern Recognition WS 20/21

Browse all posts in the Pattern Recognition WS 20/21 category.

19 to 24 of 39

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
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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
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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
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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
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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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26NOV 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 16 – Regularized Regression (WS 20/21)
In this video, we introduce basic concepts on how to regularize regression using L2 and L1 norms. Watch on:FAU TVYouTube
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