In this video, we introduce the logistic function. Watch on:FAU TVYouTube

This video introduces the topic of feedforward networks, universal approximation, and how to map a decision tree onto a neural network. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

It is a great pleasure to announce this invited talk by Prof. Dr. Björn Schuller from the University of Augsburg, Germany. He will present on "Ambient Health Intelligence" on Monday 14h, Nov 9th, 2020. Please join us using this link: https://fau.zoom.us/j/96144804506?pwd=WFZmZFplbmk2dlJNQ2VDMmtx...

This video introduces the topic of Deep Learning and presents the course's requirements, grading procedures, and summarises the first unit. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we look into the optimality of the Bayes Classifier. Watch on:FAU TVYouTube

This video introduces the topic of Deep Learning by defining the course's notation, introducing fundamental principles of Pattern Recognition, and a short review of the perceptron. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this short video, we introduce probability theory, conditional probability, class conditionals, priors, and posteriors. Watch on:FAU TVYouTube

This video introduces the topic of Deep Learning and discusses challenges and future directions. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

This year's Dies academicus at the FAU will happen on Wednesday November 4th, 2020, presenting topics around AI in the medicine. Two of our lab members will participate in this event: Prof. Katharina Breininger will take part in the panel discussion on AI in medicine. Ph.D. student Elisabeth Hoppe ...

In this video, we present the postulates of pattern recognition and measures of evaluation for classification systems. Watch on:FAU TVYouTube