Definition
Using a fixed random system as a scrambler and only training a simple readout on top.
A computational paradigm where a fixed dynamical reservoir provides nonlinear features and only a linear readout layer is trained.
Using a fixed random system as a scrambler and only training a simple readout on top.
A computational paradigm where a fixed dynamical reservoir provides nonlinear features and only a linear readout layer is trained.