Math Machine Learning seminar MPI MIS + UCLA
2021-03-18 - Ryo Karakida
Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks
Download this Video
| File format | Resolution | Link |
|---|---|---|
| MP4 | 480p | 20210318_Ryo_Karakida_480.mp4 |
| MP4 | 720p | 20210318_Ryo_Karakida_720.mp4 |
| MP4 | 1080p | 20210318_Ryo_Karakida_1080.mp4 |
| WEBM | 480p | 20210318_Ryo_Karakida_480.webm |
| WEBM | 720p | 20210318_Ryo_Karakida_720.webm |
| WEBM | 1080p | 20210318_Ryo_Karakida_1080.webm |
