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Watch now: Pattern Recognition: Episode 35 – No Free Lunch Theorem & Bias-Variance Trade-off (WS 20/21)

Towards entry "Watch now: Pattern Recognition: Episode 35 – No Free Lunch Theorem & Bias-Variance Trade-off (WS 20/21)"

In this video, we introduce the "no free lunch" theorem and the bias-variance trade-off. Watch on:FAU TVYouTube

January 20, 2021 Category: Pattern Recognition WS 20/21
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Watch now: Deep Learning: Unsupervised Learning – Part 3 (WS 20/21)

Towards entry "Watch now: Deep Learning: Unsupervised Learning – Part 3 (WS 20/21)"

In this video, we talk about the basic ideas of Generative Adversarial Networks (GANs) and show some examples. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

January 20, 2021 Category: Deep Learning WS 20/21
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Watch now: Pattern Recognition: Episode 34 – Measures of Non-Gaussianity (WS 20/21)

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In this video, we discuss three measures to determine "non-gaussianity". Watch on:FAU TVYouTube

January 19, 2021 Category: Pattern Recognition WS 20/21
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Watch now: Deep Learning: Unsupervised Learning – Part 2 (WS 20/21)

Towards entry "Watch now: Deep Learning: Unsupervised Learning – Part 2 (WS 20/21)"

In this video, we show fundamental concepts of autoencoders (AEs) ranging from undercomplete and sparse AEs, over stacked and denoising AEs all the way to Variational Autoencoders. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

January 19, 2021 Category: Deep Learning WS 20/21
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Watch now: Pattern Recognition: Episode 33 – Independent Component Analysis and Gaussianity (WS 20/21)

Towards entry "Watch now: Pattern Recognition: Episode 33 – Independent Component Analysis and Gaussianity (WS 20/21)"

In this video, we discuss the importance of non-gaussianity for the extraction of independent components.  Watch on:FAU TVYouTube

January 18, 2021 Category: Pattern Recognition WS 20/21
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Watch now: Deep Learning: Unsupervised Learning – Part 1 (WS 20/21)

Towards entry "Watch now: Deep Learning: Unsupervised Learning – Part 1 (WS 20/21)"

In this video, we introduce the topic of unsupervised learning and start looking at Restricted Boltzmann Machines as one of the first approaches for Unsupervised Deep Learning. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

January 18, 2021 Category: Deep Learning WS 20/21
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Lecture Notes in Pattern Recognition: Episode 28 – Laplacian Support Vector Machines

Towards entry "Lecture Notes in Pattern Recognition: Episode 28 – Laplacian Support Vector Machines"

These are the lecture notes for FAU's YouTube Lecture "Pattern Recognition". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor...

January 17, 2021 Category: Lecture Notes in Pattern Recognition
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Lecture Notes in Pattern Recognition: Episode 27 – Kernel PCA and Sequence Kernels

Towards entry "Lecture Notes in Pattern Recognition: Episode 27 – Kernel PCA and Sequence Kernels"

These are the lecture notes for FAU's YouTube Lecture "Pattern Recognition". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor...

January 17, 2021 Category: Lecture Notes in Pattern Recognition
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Lecture Notes in Pattern Recognition: Episode 26 – Mercer’s Theorem and the Kernel SVM

Towards entry "Lecture Notes in Pattern Recognition: Episode 26 – Mercer’s Theorem and the Kernel SVM"

These are the lecture notes for FAU's YouTube Lecture "Pattern Recognition". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor...

January 16, 2021 Category: Lecture Notes in Pattern Recognition
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Lecture Notes in Pattern Recognition: Episode 25 – Support Vector Machines – Optimization

Towards entry "Lecture Notes in Pattern Recognition: Episode 25 – Support Vector Machines – Optimization"

These are the lecture notes for FAU's YouTube Lecture "Pattern Recognition". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor...

January 16, 2021 Category: Lecture Notes in Pattern Recognition
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