Question: Mini - batch gradient descent maximizes losses across given examples makes an update for each training example is guaranteed to find the global minimum makes

Mini-batch gradient descent
maximizes losses across given examples
makes an update for each training example
is guaranteed to find the global minimum
makes an update for a batch of examples
Mini - batch gradient descent maximizes losses

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