Less than 1.0 and more than 10-6 are the range of values for the learning rate to be taken into account. The learning rate is often set to 0.1 or 0.01, and this might be a good place to start with your issue.
what is the learning rate?
- In statistics and machine learning, the learning rate is a tuning parameter in an optimization algorithm that chooses the step size at each iteration while working toward the minimum of a loss function.
- It serves as a metaphor for how quickly a machine learning model "learns," since it determines how much newly obtained information supersedes prior knowledge.
- The learning rate is frequently referred to as gain in the literature on adaptive control.
- The rate of convergence and overshooting must be balanced when choosing a learning rate.
- The learning rate specifies how large of a step is taken in the direction of descent, whereas the descent direction is often derived from the gradient of the loss function.
To know more about the learning rate, refer to the following link:
https://brainly.com/question/13338519
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