In this video, we have a short introduction to the multi-layer perceptron. Watch on:FAU TVYouTube

This video discusses the problem of class imbalance and how to compensate for it. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we introduce the Rosenblatt Perceptron and perform a convergence analysis. Watch on:FAU TVYouTube

This video discusses the use of validation data and how to choose architectures and hyperparameters and discuss ensembling. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we show the effects of norm-dependent regression. Watch on:FAU TVYouTube

This video discusses the use of validation data and how to choose optimizers, monitor weights, and set learning rates including their annealing. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we introduce norms on matrices and vectors and the corresponding unit balls. Watch on:FAU TVYouTube

This video discusses multi-task learning. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

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...