Question: A training pattern, consisting of an input vector x = [x1, x2, x3]^T and desired outputs t = [t1, t2, t3]^T , is presented to

A training pattern, consisting of an input vector x = [x1, x2, x3]^T and desired outputs t = [t1, t2, t3]^T , is presented to the following neural network. Briefly explain the usual sequence of events for training the network using the back propagation algorithm?

A training pattern, consisting of an input vector x = [x1, x2,

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