Neural Networks - Levenberg-Marquardt Method Quiz

To optimize linear regression models

To solve nonlinear least squares problems (correct)

To solve linear equations

To perform data interpolation

When parameters are far from their optimal value (correct)

When using the Gauss-Newton method

When encountering local minima

When parameters are close to their optimal value

It outperforms simple gradient descent in a wide variety of problems (correct)

It performs worse in most cases

It always performs better

It is less computationally efficient

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