Lecture 2.5 - Stochastic Gradient Descent

Lecture 2.5 - Stochastic Gradient Descent
Transcript
erm entails solution of an optimization problem stochastic gradient descent or sgd is the customary method used for the minimization of the empirical risk the minimization problem associated with the training of an estimator is shown here in its parametric form where the range of possible functions v is spanned by a parameter h our goal is to find ... Read More
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