Thesis category: MA thesis

463 to 468 of 576

08NOV 2020
News
Invited Talk “Ambient Health Intelligence” by Prof. Dr. Björn Schuller on Monday, 14h, Nov. 9th 2020
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=WFZmZFplbmk2dlJNQ2VDMmtxcndRUT09 Abstract: The vision of accompanying Artificial Intelligence providing in situ health diagnosis wherever we […]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=WFZmZFplbmk2dlJNQ2VDMmtxcndRUT09 Abstract: The vision of accompanying Artificial Intelligence providing in situ health diagnosis wherever we […]
Read more about Invited Talk “Ambient Health Intelligence” by Prof. Dr. Björn Schuller on Monday, 14h, Nov. 9th 2020
06NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Introduction – Part 5 (WS 20/21)
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
Read more about Watch now: Deep Learning: Introduction – Part 5 (WS 20/21)
05NOV 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 4 – Basics – Optimal Classification (WS 20/21)
In this video, we look into the optimality of the Bayes Classifier. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 4 – Basics – Optimal Classification (WS 20/21)
05NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Introduction – Part 4 (WS 20/21)
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
Read more about Watch now: Deep Learning: Introduction – Part 4 (WS 20/21)
04NOV 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 3 – Basics – The Bayes Theorem (WS 20/21)
In this short video, we introduce probability theory, conditional probability, class conditionals, priors, and posteriors. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 3 – Basics – The Bayes Theorem (WS 20/21)
04NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Introduction – Part 3 (WS 20/21)
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
Read more about Watch now: Deep Learning: Introduction – Part 3 (WS 20/21)