Assertion: gradient descent | /r/HasProperty | gd
Facets:
Source sentences:
text: Gradient Descent (GD) in a nutshell gives you a principled way of descending the mountain.
text: In both gradient descent (GD) and stochastic gradient descent (SGD), you update a set of parameters in an iterative manner to minimize an error function.
text: Consider a single-agent optimization problem, Gradient descent (GD) with step size is given by the update rule
text: Gradient Descent (GD)
text: Gradient descent (GD) is an iterative optimization problem algorithm for finding the minimum of a function.
text: Through a series of tutorials, the gradient descent (GD) algorithm will be implemented from scratch in Python for optimizing parameters of artificial neural network (ANN) in the backpropagation phase.