神经网络是如何联想和记忆的？——Hopfield网络讲解
TIP! Right-click and select "Save link as..." to download.
| VIDEOS | |||
| MP4 | N/A | 480P | Download |
| MP4 | N/A | 480P | Download |
| MP4 | N/A | 480P | Download |
| MP4 | N/A | 360P | Download |
| MP4 | N/A | 360P | Download |
| MP4 | N/A | 360P | Download |
| AUDIO | |||
| MP4 | N/A | mp4a.40.2 | Download |
| MP4 | N/A | mp4a.40.5 | Download |
| MP4 | N/A | mp4a.40.2 | Download |
| THUMBNAILS | |||
|
JPEG | Origin Image | Download |
https://youtu.be/1WPJdAW-sFo?si=3Y3GgpBQr_n3YvWN
In this video we will explore the concept of Hopfield networks – a foundational model of associative memory that underlies many important ideas in neuroscience and machine learning, such as Boltzmann machines and Dense associative memory.
In this video we will explore the concept of Hopfield networks – a foundational model of associative memory that underlies many important ideas in neuroscience and machine learning, such as Boltzmann machines and Dense associative memory.
Supported Sites
