Learning Internal Representations by Error Propagation, Parallel Distributed Processing, Explorations in the Microstructure of Cognition, ed. DE Rumelhart and J …
DE Rumelhart, GE Hinton, RJ Williams - Biometrika, 1986 - direct.mit.edu
Figure 1 A multilayer network. In this case the information coming to the input units is
recoded into an internal representation and the outputs are generated by the internal
representation rather than by the original pattern. Input patterns can always be encoded, if
there are enough hidden units, in a form so that the appropriate output pattern can be
generated from any input pattern. basic responses to this lack. One response is represented
by competitive learning (Chapter 5) in which simple unsupervised learning rules are …
recoded into an internal representation and the outputs are generated by the internal
representation rather than by the original pattern. Input patterns can always be encoded, if
there are enough hidden units, in a form so that the appropriate output pattern can be
generated from any input pattern. basic responses to this lack. One response is represented
by competitive learning (Chapter 5) in which simple unsupervised learning rules are …
[CITATION][C] Learning internal representations by error propagation(Technical Report, Mar.- Sep. 1985)
DE RUMELHART, GE HINTON, RJ WILLIAMS - 1985
Showing the best results for this search. See all results
