Ein künstliches Gedächtnis in N Schritten
Author
Participating institute
Institut für Technik der Informationsverarbeitung (ITIV)
Zentrum für Mediales Lernen (ZML)
Fakultät für Elektrotechnik und Informationstechnik (ETIT)
Zentrale Einrichtungen (Zentrale Einrichtungen)
Genre
Description
- 00:00:00 Start
- 00:01:16 RNN-Architekturen
- 00:02:29 Many-to-Many
- 00:02:51 One-to-Many
- 00:03:06 Many-to-One
- 00:03:16 Long-Short-Term Memory Networks
- 00:03:36 LSTM Zelle
- 00:04:01 Input, Forget und Output Gates
- 00:04:23 Gestapelte LSTM-Netze
Duration (hh:mm:ss)
00:05:31
Series
Angewandte Machine Learning Algorithmen (AMALEA)
Published on
19.10.2021
Subject area
License
| Resolution | 1280 x 720 Pixel |
| Aspect ratio | 16:9 |
| Audio bitrate | 122288 bps |
| Audio channels | 2 |
| Audio Codec | aac |
| Audio Sample Rate | 48000 Hz |
| Total Bitrate | 927455 bps |
| Color Space | yuv420p |
| Container | mov,mp4,m4a,3gp,3g2,mj2 |
| Media Type | video/mp4 |
| Duration | 331 s |
| Filename | DIVA-2021-438_hd.mp4 |
| File Size | 38.345.634 byte |
| Frame Rate | 25 |
| Video Bitrate | 799067 bps |
| Video Codec | h264 |
Media URL
Embed Code
Angewandte Machine Learning Algorithmen (AMALEA)
Episodes 1-24
of 24
