Translations:Gradient Descent/1/zh

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    梯度下降是一种用于寻找可微函数局部最小值的一阶迭代优化算法。它是几乎所有现代机器学习训练过程的基础，从简单的线性回归到拥有数十亿参数的深度神经网络都依赖于它。

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