AdS/Deep-Learning made easy: simple examples

Understand

Deep learning has been widely and actively used in various research areas.

• Recently, in the gauge/gravity duality, a new deep learning technique so-called the AdS/Deep-Learning (DL) has been proposed [1, 2].
• The goal of this paper is to describe the essence of the AdS/DL in the simplest possible setups, for those who want to apply it to the subject of emergent spacetime as a neural network.
• For prototypical examples, we choose simple classical mechanics problems.