chapter  2
23 Pages

Overview: Computational Perspectives on Neural Networks: Paul Smolensky

The processing problem in neural networks, as discussed in Chapter 1, is to understand the functions computed by neural networks as they convert input activation patterns into output patterns. Computation theory concerns the relation between the structure of (abstract) machines and the functions they compute, and so it obviously provides a natural perspective from which to investigate the processing problem in neural networks.