Video | Explaining how deep neural networks generalize to new data, the role of regularization, and relevant background information.
Brief Description
This video was created as a part of the Advanced Computer Vision course at UCF under Dr. Mubarak Shah. You can view the videos of the other students on more exciting recent Deep Learning and Computer Vision papers there as well. This video covers the concept of generalization in deep neural networks based on the recent work "Understanding deep learning requires rethinking generalization" as well as relevant background material on VC dimension and model capacity.
Follow up
If you enjoyed this video please let me know. I am considering starting a dedicated channel where I explain papers in this level of detail on a regular basis.