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By using only linear processing units in output layer, can a artificial neural network capture association if input patterns is greater then dimensionality of input vectors?

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By using only linear processing units in output layer, can a artificial neural network capture association if input patterns is greater then dimensionality of input vectors?

(a) yes

(b) no

This question was posed to me in quiz.

My question is based upon Determination of Weights in section Feedforward Neural Networks of Neural Networks

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Best answer
The correct option is (b) no

The best explanation: There is need of non linear processing units.

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