| slovo | definícia |
back-propagation
(foldoc) | back-propagation
(Or "backpropagation") A {learning
algorithm} that modifies a feed-forward neural network so
as to minimise a continuous "error function" or "{objective
function}." Back-propagation is a "gradient descent" method
of training in that it uses gradient information to modify the
network weights to decrease the output error. Other gradient
based methods from numerical analysis can be used to train
networks more efficiently.
Back-propagation uses a mathematical trick when the network is
simulated on a digital computer, yielding, in just two
traversals of the network (once forward, and once back), both
the difference between the desired and actual output, and the
derivatives of this difference with respect to the connection
weights.
(2020-05-17)
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