Gradient Descent, Machine Learning, Neural Networks, Optimization, Linear Regression.
converge quickly without overshooting or getting stuck in local minima. Here are some tips to guide you in choosing an appropriate learning rate: Experimentation: It’s often a trial-and-error process to find the optimal learning rate. Start with a reasonable initial value and observe the behavior