Author: Andreas Maier

This video explains how to derive L2 Loss and Cross-Entropy Loss from statistical assumptions. Highly relevant for the exam! Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we look into the actual logistic regression and how to formulate the optimization problem. Watch on:FAU TVYouTube

This video explains backpropagation at the level of layer abstraction. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we look into further probability density and mass functions of the exponential family. Watch on:FAU TVYouTube

This video introduces the basics of the backpropagation algorithm. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we combine the logistic function with the Gaussian probability density function. Watch on:FAU TVYouTube

This video introduces the topics of activation functions, loss, and the idea of gradient descent. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

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...