Machine Learning
Gradient Descent
GD
Machine Learning· Intermediate
Definition
An optimization algorithm that minimizes a model's loss function by iteratively adjusting parameters in the direction of steepest gradient descent. Variants include SGD, Mini-batch GD, Adam, and RMSProp.
Tags
#optimization#loss-function#learning-rate
MS
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