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The Neural Heat Exchanger is an entirely local method
for training multi-layer nets. It is
inspired by principles of conventional, physical
It was first presented in 1990,
and is very similar to the 1995 Helmholtz Machine.
It can solve certain non-linear tasks.
To fully understand its advantages and limitations, however,
much theoretical and empirical work remains to be done.