Question: True or False? For training of linear Support Vector Machines (SVM), if we initialize the coefficients of the SVM with different values and apply gradient

True or False? For training of linear Support Vector Machines (SVM), if we initialize the coefficients of the SVM with different values and apply gradient descent (GD) method to optimize the coefficients, the algorithm will always converge to the same solution. Justify your answer.

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