more boring typos
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@@ -368,17 +368,17 @@ MathJax.Hub.Config({
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<p>
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In our case, we have to minimize the cost function \( c(x, P) \) with
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respect to the two sets of weights and bisases, that is for the hidden
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layer \( P_{\text{hidden} } \) and for the ouput layer \( P_{\text{output}
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layer \( P_{\mathrm{hidden} } \) and for the ouput layer \( P_{\mathrm{output}
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} \) .
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<p>
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This means that \( P_{\text{hidden} } \) and \( P_{\text{output} } \) is
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This means that \( P_{\mathrm{hidden} } \) and \( P_{\mathrm{output} } \) is
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updated by
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$$
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\begin{aligned}
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P_{\text{hidden},\text{new}} &= P_{\text{hidden}} - \lambda \nabla_{P_{\text{hidden}}} c(x, P) \\
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P_{\text{output},\text{new}} &= P_{\text{output}} - \lambda \nabla_{P_{\text{output}}} c(x, P)
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P_{\mathrm{hidden},\mathrm{new}} &= P_{\mathrm{hidden}} - \lambda \nabla_{P_{\mathrm{hidden}}} c(x, P) \\
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P_{\mathrm{output},\mathrm{new}} &= P_{\mathrm{output}} - \lambda \nabla_{P_{\mathrm{output}}} c(x, P)
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\end{aligned}
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$$
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