在深度学习训练过程中，学习率调度器扮演着至关重要的角色。这主要是因为在训练的不同阶段，模型的学习动态会发生显著变化。 在训练初期，损失函数通常呈现剧烈波动，梯度值较大且不稳定。此阶段的主要目标是在优化空间中快速接近某个局部最小值。

Dr. James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values, by ...

The goal of a multi-class classification problem is to predict a value that can be one of three or more possible discrete values, such as "poor," "average" or "good" for a loan applicant's credit ...