Gradient descent

Gradient descent                                             Machine Learning

noun phrase

Definition: An iterative optimization algorithm that updates model parameters in the direction opposite to the gradient to minimize a differentiable objective function [Keras / TensorFlow optimizer docs].

Example in context: In this process, we adopt gradient descent to obtain the optimal solution.” [Liu et al. 2024]

Related terms: stochastic gradient descent (SGD); batch gradient descent; learning rate

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