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Generalization feature of a multilayer feedforward network depends on factors?

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Generalization feature of a multilayer feedforward network depends on factors?

(a) architectural details

(b) learning rate parameter

(c) training samples

(d) all of the mentioned

This question was addressed to me during an online interview.

This question is from Pattern Association topic in chapter Feedforward Neural Networks of Neural Networks

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The correct option is (a) architectural details

For explanation I would say: Generalization feature of a multilayer feedforward network depends on all of these above mentioned factors.

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