Question: What characterizes the process of gradient descent in machine learning? It starts with a deterministic initialization of the parameter vector 0. It evaluates the overall

What characterizes the process of gradient descent in machine learning? It starts with a deterministic initialization of the parameter vector 0. It evaluates the overall minimum of the error function. It aims to increase the cost function at each step for better exploration. It measures the local gradient and moves towards the descending gradient direction

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