Reservoirslag
Reservoirslag is a term used in artificial intelligence and machine learning to describe a specific type of computational network architecture. It is characterized by its interconnectedness and the presence of feedback loops. Unlike traditional feedforward neural networks, reservoir computing models incorporate a large, static, and randomly connected recurrent neural network, often referred to as the "reservoir."
The key idea behind reservoir computing is that the complex dynamics within this randomly generated reservoir
This approach offers several advantages. It significantly reduces the computational cost and time required for training,