Intermediate · Neural Networks
Echo state network (ESN)
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A type of recurrent neural network with a fixed, randomly connected hidden layer, where only output weights are learned to reproduce temporal patterns.
Technical Definition
A type of recurrent neural network with a fixed, randomly connected hidden layer, where only output weights are learned to reproduce temporal patterns.
How it works
Echo state networks are a specific type of recurrent neural network (RNN). They feature a large, randomly generated hidden layer with fixed connections and weights, often referred to as the 'reservoir'. The learning process is greatly simplified because only the connections from the reservoir to the output layer are trained, making them efficient for modeling time-series data.
Related Concepts
- Recurrent Neural Network (RNN) — A neural network with loops that maintain hidden state, designed to process sequential data like text and time series.
- Reservoir computing — A computing framework using fixed, complex dynamical systems to process input signals.