data_mining:logistic_regression

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data_mining:logistic_regression [2018/05/10 17:39] – [Regularization] phreazerdata_mining:logistic_regression [2018/05/10 17:48] (current) – phreazer
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 $min \dots + \lambda \sum_{i=1}^n \theta_j^2$ $min \dots + \lambda \sum_{i=1}^n \theta_j^2$
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-$J(W^l,b^l)= 1/m \sum_i=1^m J(y^i, y^i) + \frac{\lambda}{2m} \sum_l=1^L || W^l ||^2$ 
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-For large $lambda$, $W^l => 0$ 
  
 === Gradient descent (Linear Regression) === === Gradient descent (Linear Regression) ===
  • data_mining/logistic_regression.1525966747.txt.gz
  • Last modified: 2018/05/10 17:39
  • by phreazer