What is the best optimizer for deep learning?
An example of an AI chatbot conversation about choosing optimizers in deep learning.
What is the best optimizer for deep learning?
The best optimizer can depend on your specific use case, but Adam is widely regarded as a strong choice for many tasks.
Why is Adam considered a good optimizer?
Adam combines the advantages of two other extensions of stochastic gradient descent, namely AdaGrad and RMSProp, making it efficient.
Are there situations where I should use a different optimizer?
Yes, for certain tasks like training GANs, optimizers like RMSProp or even SGD with momentum might perform better.
How do I choose the right learning rate for Adam?
A common starting point is 0.001, but you may need to experiment with different values based on your dataset.
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