Author: Andreas Maier

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...

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...

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 ...

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 (Summ...

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

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

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

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

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

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