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Ex.15 Neural Network

Q15

解答

$$ \begin{aligned} h_{nj}^{(1)} &= \text{sigmoid}\left(\sum_{i=1}^mx_{ni}w_{ji}^{(1)} + b_j^{(1)}\right)\\ \vdots\\ h_{nj}^{(l)} &= \text{sigmoid}\left(\sum_{i}h_{ni}^{(l-1)}w_{ji}^{(l-1)} + b_j^{(l-1)}\right)\\ y_{nj} &= \text{softmax}_j\left(\right) \end{aligned} $$

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Published
Nov 4, 2019
Last Updated
Nov 4, 2019
Category
情報基礎実験(木立)
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  • 3A 127
  • 情報基礎実験(木立) 20
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