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Why is learning rate an important parameter in the gradient descent algorithm? Group of answer choices It determines how much the weights are updated during
Why is learning rate an important parameter in the gradient descent algorithm?
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It determines how much the weights are updated during each iteration
It controls the amount of data used per iteration
It specifies the number of iterations for convergence
It determines the direction of the gradient
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Object Oriented Databases Prentice Hall International Series In Computer Science
Authors: John G. Hughes
1st Edition
0136298745, 978-0136298748
