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Networks must be
trained before they can provide correct solutions to problems. CC training
involves both adjusting connection weights and adding new hidden units. CC
networks begin without any hidden units. Trainable connection weights are
drawn in this slideshow as dashed arrows. Initially, these weights have
random values, generating random performance. Weights are adjusted to reduce
discrepancy (error) between the actual output vector and a target output
vector of correct activations.
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