Gradient Descent, Machine Learning, Neural Networks, Optimization, Linear Regression.
employ learning rate schedules. These schedules gradually decrease the learning rate over time, allowing for faster convergence in the beginning and finer adjustments towards the end. Adaptive Learning Rates: Advanced optimization algorithms, such as AdaGrad, RMSprop, or Adam, automatically adapt