Pattern classification with CNNs as reservoirs
David Verstraeten, Samuel Xavier‐de‐Souza, Benjamin Schrauwen, Johan A. K. Suykens, Dirk Stroobandt, Joos P. L. Vandewalle · Ghent University Academic Bibliography (Ghent University) · 2008
Reservoir Computing is a novel method in the field of neural networks and machine learning, which combines the computational power of a nonlinear dynamic system with the ease of training of a linear classifier. The basic setup is as follows: a sufficiently complex network of nonlinear nodes (called the reservoir) is excited by an input signal, and the instantaneous dynamic response of the system is then used to train a simple linear readout function.