To provide generalization capability to a network, what should be done?(a) all units should be linear(b) all units should be non – linear(c) except input layer, all units in other layers should be non – linear(d) none of the mentionedI have been asked this question in class test.My enquiry is from Pattern Mapping topic in portion Feedforward Neural Networks of Neural Networks

To provide generalization capability to a network, what should be done

1.	To provide generalization capability to a network, what should be done?(a) all units should be linear(b) all units should be non – linear(c) except input layer, all units in other layers should be non – linear(d) none of the mentionedI have been asked this question in class test.My enquiry is from Pattern Mapping topic in portion Feedforward Neural Networks of Neural Networks
Answer» The correct ANSWER is (c) EXCEPT input layer, all units in other layers should be non – linear For explanation I would say: To PROVIDE generalization capability to a network, except input layer, all units in other layers should be non – linear.

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