Dropout. (a) Explain why dropout can be used to mitigate the overfitting problem. (b) Suppose we have

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Dropout. (a) Explain why dropout can be used to mitigate the overfitting problem. (b) Suppose we have a simple two-layer neural network y=W2(W1x+b1)+b2 where xR3,W1R2×3, b1R2,W2R2 and b2R. How many possible dropout networks are there that are not disconnected?

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Data Mining Concepts And Techniques

ISBN: 9780128117613

4th Edition

Authors: Jiawei Han, Jian Pei, Hanghang Tong

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