📚 node [[gradient_descent]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Gradient_Descent.md by @KGBicheno
gradient descent
Go back to the [[AI Glossary]]
A technique to minimize loss by computing the gradients of loss with respect to the model's parameters, conditioned on training data. Informally, gradient descent iteratively adjusts parameters, gradually finding the best combination of weights and bias to minimize loss.
📖 stoas
- public document at doc.anagora.org/gradient_descent
- video call at meet.jit.si/gradient_descent
⥅ related node [[mini batch_stochastic_gradient_descent_(sgd)]]
⥅ related node [[stochastic_gradient_descent_(sgd)]]
🔎 full text search for 'gradient_descent'