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Glossary: Calculus for ML

Learning rate

Also written: η, eta, lr

The small positive number that sets the step size in gradient descent. Too small and training crawls, too big and it overshoots and diverges.

Where the book teaches it

Related terms

Gradient descentDivergeSecond derivative