Choosing Learning Rate We introduced an important parameter, the learning rate \(\alpha\), in Linear Regression 2 – Gradient Descent without discussing how to choose its value. In fact, the choice of the learning rate affects the performance of the algorithm significantly. It determines the convergence speed of the gradient descent algorithm, which is the number of iteration to reach the minimum. The below figures, we call it learning graph, show how different learning rates impact the speed of the algorithm.

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