Lecture Videos

This video discusses how to evaluate deep learning approaches. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

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

This video discusses initialization techniques and transfer learning. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science