Assertion: gradient descent | /r/CapableOf | minimize objective function
Facets:
Source sentences:
text: Gradient descent is a way to minimize an objective function \(J(\theta)\) parameterized by a model's parameters \(\theta
text: Gradient descent is a way to minimize an objective function J(θ) parameterized by a multivariate model's parameter θ parameters by updating the parameters in the opposite direction of the gradient of the objective function ∇J(θ) w.r.t.