How do I tune the Adam optimizer for my neural network?

How do I tune the Adam optimizer for my neural network?

Tuning the Adam optimizer involves adjusting parameters like learning rate, beta1, and beta2. What specific issues are you facing?

I'm not sure about the learning rate. What should I start with?

A common starting point for the learning rate is 0.001. You can experiment with values like 0.0001 or 0.01 based on your results.

What about the beta parameters? How do I choose those?

Typically, beta1 is set to 0.9 and beta2 to 0.999. These values work well for most tasks, but you can adjust them if needed.

How can I monitor the performance while tuning?

You can monitor performance using validation loss and accuracy metrics. Consider using learning rate schedulers to adjust dynamically.