Andreas Maier

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23JAN 2021
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 29 – Expectation-Maximization Introduction
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 manual modifications were performed. Try it yourself! If you […]
Read more about Lecture Notes in Pattern Recognition: Episode 29 – Expectation-Maximization Introduction
22JAN 2021
News
Invited Talk: Dr. Xin Lai – Network- and systems-based re-engineering of dendritic cells with microRNAs for cancer immunotherapy – Jan 27th, 14h
It’s a great pleasure to announce Dr. Xin Lai from Erlangen’s University Clinic. Title: Network- and systems-based re-engineering of dendritic cells with microRNAs for cancer immunotherapyDate: Jan 27th 2021, 14hLocation: https://fau.zoom.us/j/99377435262?pwd=N1RtSE4wbG9od0RwV2pqRVliNzlHUT09 Abstract: Dendritic cells (DCs) are professional antigen-presenting cells that induce and regulate adaptive immunity by presenting antigens to T cells. Due to their coordinative […]It’s a great pleasure to announce Dr. Xin Lai from Erlangen’s University Clinic. Title: Network- and systems-based re-engineering of dendritic cells with microRNAs for cancer immunotherapyDate: Jan 27th 2021, 14hLocation: https://fau.zoom.us/j/99377435262?pwd=N1RtSE4wbG9od0RwV2pqRVliNzlHUT09 Abstract: Dendritic cells (DCs) are professional antigen-presenting cells that induce and regulate adaptive immunity by presenting antigens to T cells. Due to their coordinative […]
Read more about Invited Talk: Dr. Xin Lai – Network- and systems-based re-engineering of dendritic cells with microRNAs for cancer immunotherapy – Jan 27th, 14h
22JAN 2021
Deep Learning WS 20/21
Watch now: Deep Learning: Unsupervised Learning – Part 5 (WS 20/21)
In this last video on unsupervised learning, we introduce some more advanced GAN concepts to avoid mode collapse and strong intra-batch correlation using virtual batch normalization, unrolled GANs, and minibatch discrimination. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Unsupervised Learning – Part 5 (WS 20/21)
21JAN 2021
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 36 – Performance Measures on Finite Data (WS 20/21)
In this video, we look into how to estimate reliable performance measures on finite data such as the jack-knife, bootstrapping, and cross-validation. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 36 – Performance Measures on Finite Data (WS 20/21)
21JAN 2021
Deep Learning WS 20/21
Watch now: Deep Learning: Unsupervised Learning – Part 4 (WS 20/21)
In this video, we talk about conditional GANs and the CycleGAN. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Unsupervised Learning – Part 4 (WS 20/21)
20JAN 2021
Pattern Recognition WS 20/21
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
Read more about Watch now: Pattern Recognition: Episode 35 – No Free Lunch Theorem & Bias-Variance Trade-off (WS 20/21)