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 x∈R3,W1∈R2×3, b1∈R2,W2∈R2 and b2∈R. How many possible dropout networks are there that are not disconnected?
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a By randomly dropping some input andor hidden uni...View the full answer
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Data Mining Concepts And Techniques
ISBN: 9780128117613
4th Edition
Authors: Jiawei Han, Jian Pei, Hanghang Tong
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