5 Questions
Which method is Stochastic gradient descent often abbreviated as?
SGD
Which type of optimization problem does stochastic gradient descent help with?
High-dimensional optimization problems
What does stochastic gradient descent replace the actual gradient with?
An estimate of the gradient
Which algorithm from the 1950s is the basic idea behind stochastic approximation traced back to?
Robbins–Monro algorithm
In exchange for achieving faster iterations, what is the tradeoff of using stochastic gradient descent?
Lower convergence rate
Test your knowledge of stochastic gradient descent (SGD) with this quiz! Explore the concepts and properties of SGD, including its iterative optimization method and approximation of gradient descent. Challenge yourself with questions about the smoothness properties and calculations involved in SGD.
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