Assertion: gradient descent | /r/HasProperty | algorithm
Facets:
value: at a theoretical level
type: OTHER
Source sentences:
text: At a theoretical level, gradient descent is an algorithm that minimizes functions.
text: The minimum (singular)/minima(plural) is a point within the slope where the optimum value that minimizes the cost function exists, and gradient descent is the algorithm that guides our ball towards the minimum at several steps (iterations).
text: Gradient Descent is an algorithm that cleverly finds the lowest point for us.
text: Gradient descent is an algorithm that is used to minimize a function.
text: Gradient descent is an algorithm that helps us optimize a function through an iterative process when solving for the best parameters.
text: Gradient descent is an algorithm to find the minimum of a function.
text: Stochastic gradient descent is an algorithm that attempts to address some of these issues.
text: Here comes gradient descent, an algorithm that works by making changes to the values of the parameters that are within the model, all in the purpose of minimizing the cost function.
text: At a theoretical level, gradient descent is an algorithm that minimizes functions.