Author: Andreas Maier

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

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

This video introduces the topic of Deep Learning by showing several well-known examples from FAU. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we introduce the lecture and look into the first example for pattern recognition. Watch on:FAU TVYouTube

This video introduces the topic of Deep Learning by showing several well-known examples. Note that this version still has problems with the audio and is missing introductions to the guest quotes. We will fix this issue as soon as possible in the next days. Watch on:FAU TVFAU TV (no memes)YouTube...

Prof. Dr. Schulze will give an invited presentation on the Neuroanatomy of Learning and Memory on Monday, Nov. 2nd, 14h, 2020 at our lab. The presentation will be online and you can join using the following Zoom-Link: https://fau.zoom.us/j/93481201761?pwd=RS81T1BraHBaOWdmOVB4VGcrSVVPQT09 Abtr...