Logistic Regression, Stochastic Gradient, Regularization.
defined above. derivative of the sigmoid w.r.t to linear regression equation So, the derivative of the sigmoid w.r.t to z is nothing but sigmoid(z) * (1 — sigmoid(z)). Now, we have the derivative of the loss w.r.t sigmoid (dL/da), and the derivative of the sigmoid w.r.t the linear regression