Instruction: Explain the concept of learning rate schedules and their impact on the convergence speed and stability of the gradient descent algorithm.
Context: This question tests the candidate's knowledge in optimizing neural network training processes and understanding of advanced gradient descent techniques.
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The way I'd explain it in an interview is this: Learning rate schedules matter because the best learning rate is often not the same throughout training. Early on, a larger learning rate can help the model move quickly and avoid wasting time...