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Lecture Notes in Pattern Recognition: Episode 39 – The Viola-Jones Algorithm

Towards entry "Lecture Notes in Pattern Recognition: Episode 39 – The Viola-Jones Algorithm"

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...

February 6, 2021 Category: Lecture Notes in Pattern Recognition
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Lecture Notes in Pattern Recognition: Episode 38 – Adaboost & Exponential Loss

Towards entry "Lecture Notes in Pattern Recognition: Episode 38 – Adaboost & Exponential Loss"

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...

February 6, 2021 Category: Lecture Notes in Pattern Recognition
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Lecture Notes in Pattern Recognition: Episode 37 – Adaboost Concept

Towards entry "Lecture Notes in Pattern Recognition: Episode 37 – Adaboost Concept"

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...

February 6, 2021 Category: Lecture Notes in Pattern Recognition
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Watch now: Deep Learning: Graph Deep Learning – Part 1 (WS 20/21)

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

In this video, we introduce spectral representations of graphs. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

February 5, 2021 Category: Deep Learning WS 20/21
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Watch now: Deep Learning: Weakly and Self-Supervised Learning – Part 4 (WS 20/21)

Towards entry "Watch now: Deep Learning: Weakly and Self-Supervised Learning – Part 4 (WS 20/21)"

In this video, we look into contrastive losses and how they can be used in combination with self-supervised learning. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

February 4, 2021 Category: Deep Learning WS 20/21
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Watch now: Deep Learning: Weakly and Self-Supervised Learning – Part 3 (WS 20/21)

Towards entry "Watch now: Deep Learning: Weakly and Self-Supervised Learning – Part 3 (WS 20/21)"

In this video, we look into the fundamental concepts of self-supervised learning. In particular, we look at different strategies to create surrogate labels from data automatically. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

February 3, 2021 Category: Deep Learning WS 20/21
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Watch now: Deep Learning: Weakly and Self-Supervised Learning – Part 2 (WS 20/21)

Towards entry "Watch now: Deep Learning: Weakly and Self-Supervised Learning – Part 2 (WS 20/21)"

In this video, we discuss weak supervision and how to go from 2D to 3D. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

February 2, 2021 Category: Deep Learning WS 20/21
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Watch now: Deep Learning: Weakly and Self-Supervised Learning – Part 1 (WS 20/21)

Towards entry "Watch now: Deep Learning: Weakly and Self-Supervised Learning – Part 1 (WS 20/21)"

In this video, we discuss weak supervision and demonstrate how to create class activation maps for localization and how to get from bounding boxes to pixel segmentation. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

February 1, 2021 Category: Deep Learning WS 20/21
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Lecture Notes in Pattern Recognition: Episode 36 – Performance Measures on Finite Data

Towards entry "Lecture Notes in Pattern Recognition: Episode 36 – Performance Measures on Finite Data"

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 31, 2021 Category: Lecture Notes in Pattern Recognition
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Lecture Notes in Pattern Recognition: Episode 35 – No Free Lunch Theorem & Bias-Variance Trade-off

Towards entry "Lecture Notes in Pattern Recognition: Episode 35 – No Free Lunch Theorem & Bias-Variance Trade-off"

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 31, 2021 Category: Lecture Notes in Pattern Recognition
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