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Update lesson1-week2.md #70

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另外在神经网络的计算中，通常先有一个叫做前向暂停(**forward pause**)或叫做前向传播(**foward propagation**)的步骤，接着有一个叫做反向暂停(**backward pause**) 或叫做反向传播**(backward propagation**)的步骤。所以这周我也会向你介绍为什么神经网络的训练过程可以分为前向传播和反向传播两个独立的部分。

在课程中我将使用逻辑回归(l**ogistic regression**)来传达这些想法，以使大家能够更加容易地理解这些概念。即使你之前了解过逻辑回归，我认为这里还是有些新的、有趣的东西等着你去发现和了解，所以现在开始进入正题。
在课程中我将使用逻辑回归(**logistic regression**)来传达这些想法，以使大家能够更加容易地理解这些概念。即使你之前了解过逻辑回归，我认为这里还是有些新的、有趣的东西等着你去发现和了解，所以现在开始进入正题。

逻辑回归是一个用于二分类(**binary classification**)的算法。首先我们从一个问题开始说起，这里有一个二分类问题的例子，假如你有一张图片作为输入，比如这只猫，如果识别这张图片为猫，则输出标签1作为结果；如果识别出不是猫，那么输出标签0作为结果。现在我们可以用字母 $y$来 表示输出的结果标签，如下图所示：

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