Deep Belief Nets in C++ and CUDA C: Volume 2 by Timothy Masters

Author:Timothy Masters
Language: eng
Format: epub
Publisher: Apress, Berkeley, CA

hnet: The net input to a hidden neuron

h: The activation of that hidden neuron

anet: The net input to an output neuron

a: The activation of that output neuron

t: The target activation for that output neuron

E: The error for that output neuron

ETOT: The total error for all output neurons

w: A weight connecting one neuron to another

E refers to the error of the single output neuron under consideration when it does not have a subscript. Occasionally, though, it will appear as part of a summation across all output neurons. In these cases, it will be subscripted to indicate that it refers to a particular neuron. So, for example, we have Equation 4-26.

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