Gradient Descent, Machine Learning, Neural Networks, Optimization, Linear Regression.
of the algorithm. If it converges too slowly, increase the learning rate; if it diverges or overshoots, decrease the learning rate. Iterate this process until you find the right balance. Learning Rate Schedules: Instead of using a fixed learning rate throughout the entire training process, you can