vault backup: 2023-10-17 15:29:22
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# Neural Network and Deep Learning
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## Logistic Regression
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$$\begin{align}
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正向传递\\
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z &= w^Tx + b \\
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a &= \sigma(z) \\
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\hat{y} &= L(a) = -ylog(\hat{y}) - (1-y)log(1-\hat{y}) \ \ 其中(\hat{y} = a) \\
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反向传递 \\
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\frac{dL}{da}
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\end{align}$$
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