Question: Question 1 1 pts In gradient descent, the current parameter vector is updated by adding to it a learning rate multiplied with: The previous value

Question 1 1 pts In gradient descent, the current parameter vector

Question 1 1 pts In gradient descent, the current parameter vector is updated by adding to it a learning rate multiplied with: The previous value of the parameter vector. The current value of the objective function. The gradient O The negative of the gradient

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