What are the best practices for using Adam optimizer in machine learning?
An example of an AI chatbot conversation about best practices for using the Adam optimizer in ML.
What are the best practices for using the Adam optimizer in machine learning?
When using the Adam optimizer, it's important to set appropriate learning rates, typically starting with 0.001.
Should I adjust the learning rate during training?
Yes, using learning rate schedules or adaptive learning rates can help improve convergence.
What about the beta parameters? How should I set them?
The default values of beta1=0.9 and beta2=0.999 work well for most cases, but you can experiment with them.
Are there any common pitfalls to avoid?
Avoid using very high learning rates, as they can lead to divergence. Also, monitor for overfitting.
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