【CS231n】Lecture 6：Training Neural Networks,Part 2
CS231n系列课程笔记：作为本人的笔记记录，并无商用用途 CS231n：http://cs231n.stanford.edu/ 参数更新（Parameter Update） 本文参数更新主要针对神经网络中反向传播过程中weights和biases的更新方式做的笔记。 SGD 缺点:水平方向平缓，垂直方向陡峭时，SGD容易发生抖动，找到最优解的时间最长 参数更新公式： Momentum 解释：梯度
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