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Advanced exercise: Using a network that uses large numbers of inputs, try to observe the phenomenon of “throwing out” unnecessary information in the course of learning. To do so, assign unnecessary information (that has no connection with the required response of the network) to one of additional inputs. The other inputs should receive all data required to solve the required task. After a short period of learning, the weights of all connections leading to “parasitic” inputs to hidden neurons will take values near zero and the idle input will be almost eliminated.