How do I choose the learning rate for my model?
Choosing the right learning rate is crucial for training your model effectively. It determines how quickly your model learns.
What happens if the learning rate is too high?
If the learning rate is too high, your model may converge too quickly to a suboptimal solution or even diverge.
And what if it's too low?
A learning rate that's too low can make the training process very slow and may get stuck in local minima.
How can I find the optimal learning rate?
You can use techniques like learning rate schedules, grid search, or the learning rate finder method to identify the best rate.
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