Relate alpha, beta1, beta2 and epsilon to learning rate and momentum in adam_sgd optimizer

Here is a mapping :

• Alpha is the learning_rate
• Beta1 is momentum parameter
• Beta2 is variance_momentum parameter

I don’t think you’re able to define the epsilon one.