What does ‘convergence’ mean in the context of training a machine learning model?

Question

Machine Learning — Easy

What does ‘convergence’ mean in the context of training a machine learning model?

Accepted Answer

Convergence in machine learning refers to the training process reaching a state where the loss function stops decreasing significantly and model parameters stabilize. This indicates that the model has learned as much as it can from the data.