What is regularization technique and when and why is it use

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Reference no: EM133361790

Questions: Answer the following question.

  • What is regularization technique and when and why is it use?
  • Can you explain the how dropout and l2 regularization works in feedforward neural network and logistic regression classifier?
  • Write down the loss function equation, including l2 regularization for the logistic regression and multiclass (> 2 class) feedforward neural network classifier. Then, show the detailed calculation of the derivative of these loss functions and the final derivatives.

Reference no: EM133361790

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