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AI’s

training

Optimizer

An algorithm that determines how model parameters are updated during training based on the computed gradients. Optimizers implement strategies beyond basic gradient descent to improve convergence speed and stability.

In practice

Common optimizers include SGD (simple but effective), Adam (adaptive learning rates), and AdaGrad (adapts to sparse data).

In the index

Tools that mention Optimizer

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