Learning Rate

The learning rate is a critical hyperparameter in training machine learning models, influencing how quickly or slowly the model learns from the data. A learning rate that is too high can lead to overshooting the minimum of the loss function, while a learning rate that is too low can result in excessively long training times or getting stuck in local minima. Techniques such as learning rate schedules or adaptive learning rates can help to optimize this parameter during training.