Which of the following optimizers is known for adapting the learning rate during

Which of the following optimizers is known for adapting the learning rate during training?

Which of the following optimizers is known for adapting the learning rate during training?

Step 1: Understand what an optimizer is in machine learning. It helps adjust the model's parameters to minimize the error.
Step 2: Learn that a learning rate is a value that determines how much to change the model's parameters during training.
Step 3: Recognize that some optimizers can change the learning rate during training to improve performance.
Step 4: Identify that Adam (Adaptive Moment Estimation) is one of these optimizers.
Step 5: Know that Adam uses the first moment (mean) and second moment (variance) of the gradients to adapt the learning rate.

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