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AI glossary

What is Gradient Descent?

The optimization method that trains neural networks by repeatedly nudging parameters opposite to the gradient of the loss.

The learning rate controls step size: too small is slow, too large diverges. Optimizers like Adam are refined versions.

▶Practice it hands-onHow Models Learn: Gradient Descent

Related terms

Neural NetworkOverfitting

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