What are the key parameters of the Adam optimizer?
An example of an AI chatbot conversation about the Adam optimizer's parameters.
What are the key parameters of the Adam optimizer?
The Adam optimizer has several key parameters: learning rate, beta1, beta2, and epsilon.
Can you explain what each of these parameters does?
Sure! The learning rate controls how much to change the model in response to the estimated error. Beta1 is the exponential decay rate for the first moment estimates, while beta2 is for the second moment estimates. Epsilon is a small constant to prevent division by zero.
What are typical values for these parameters?
Typically, a learning rate of 0.001 is common, beta1 is often set to 0.9, beta2 to 0.999, and epsilon to 1e-7.
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