data_mining:logistic_regression

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data_mining:logistic_regression [2018/05/10 17:41] – [Regularization] phreazerdata_mining:logistic_regression [2018/05/10 17:42] – [Regularization] phreazer
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-For large $lambda$, $W^l => 0$+For large $\lambda$, $W^{[l]} => 0$
  
-$J(W^{[l]},b^{[l]})= \frac{1}{m} \sum_{i=1}^m J(\hat{y}^i, y^i) + \frac{\lambda}{2m} \sum_{l=1}^L || W^{[l]} ||^2$+$J(W^{[l]},b^{[l]})= \frac{1}{m} \sum_{i=1}^m J(\hat{y}^{(i)}, y^{(i)}) + \frac{\lambda}{2m} \sum_{l=1}^L || W^{[l]} ||^2$
  
 === Gradient descent (Linear Regression) === === Gradient descent (Linear Regression) ===
  • data_mining/logistic_regression.txt
  • Last modified: 2018/05/10 17:48
  • by phreazer