In this video, we introduce spectral representations of graphs. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we look into contrastive losses and how they can be used in combination with self-supervised learning. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we look into the fundamental concepts of self-supervised learning. In particular, we look at different strategies to create surrogate labels from data automatically. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we discuss weak supervision and how to go from 2D to 3D. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we discuss weak supervision and demonstrate how to create class activation maps for localization and how to get from bounding boxes to pixel segmentation. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

These are the lecture notes for FAU's YouTube Lecture "Pattern Recognition". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor...

These are the lecture notes for FAU's YouTube Lecture "Pattern Recognition". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor...

These are the lecture notes for FAU's YouTube Lecture "Pattern Recognition". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor...

These are the lecture notes for FAU's YouTube Lecture "Pattern Recognition". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor...

Prof. Dr. Julio Vera-Gonzalez will present on his latest results on computational modelling of gene regulatory networks. Title: Computational modelling of gene regulatory networks in cancer. Methods and applications to detect predictive signaturesDate: Feb 3rd 2021, 14h CETLocation: https://fau....