The size of the step that gradient descent takes is called the learning rate. Finding an adequate value for the learning rate is key to achieve convergence. If this value is too large the algorithm will never reach the optimus, but if is too small it will take too much time to achieve the desired value.
Gradient Descent is an iterative algorithm used to tune the parameters in regression models for minimum loss.
Welcome to our comprehensive collection of programming language cheatsheets! Whether you're a seasoned developer or a beginner, these quick reference guides provide essential tips and key information for all major languages. They focus on core concepts, commands, and functions—designed to enhance your efficiency and productivity.
ManageEngine Site24x7, a leading IT monitoring and observability platform, is committed to equipping developers and IT professionals with the tools and insights needed to excel in their fields.
Monitor your IT infrastructure effortlessly with Site24x7 and get comprehensive insights and ensure smooth operations with 24/7 monitoring.
Sign up now!