Which optimization algorithm adapts the learning rate for each parameter based on its gradient history?
Question
Solution 1
The optimization algorithm that adapts the learning rate for each parameter based on its gradient history is called "Adaptive Moment Estimation" or "Adam".
Here's a step-by-step explanation of how it works:
- Initialize the parameters: Adam starts with an initial estimate of the parameters of th Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study prob
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