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By exact learning we mean the expressibility of a network to reproduce exactly the desired target function. For an exact learning the network weights do not need tuning; their values can be found exactly. Even if this is unlikely to occur in general, there are a few particular cases when this happens. These cases will be discussed in this chapter.