A hyperparameter that controls how much model weights are updated during training. A high learning rate speeds up training but may overshoot; a low rate ensures stability but may slow convergence.
A hyperparameter that controls how much model weights are updated during training. A high learning rate speeds up training but may overshoot; a low rate ensures stability but may slow convergence.