What are some other optimizers used in machine learning?
An example of an AI chatbot conversation about various optimizers in machine learning.
What are some other optimizers used in machine learning?
In addition to the popular Adam optimizer, there are several others like RMSprop, Adagrad, and SGD. Would you like to know more about any specific one?
Can you explain how RMSprop works?
RMSprop adjusts the learning rate for each parameter based on the average of recent magnitudes of the gradients. This helps in dealing with non-stationary objectives.
What are the advantages of using Adagrad?
Adagrad adapts the learning rate for each parameter individually, which is beneficial for dealing with sparse data. It can lead to faster convergence in some cases.
Are there any downsides to using SGD?
Yes, SGD can be sensitive to the choice of learning rate and may converge slowly. It can also get stuck in local minima.
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