【CS231n】Lecture 6：Training Neural Networks,Part 2
CS231n系列課程筆記：作爲本人的筆記記錄，並無商用用途 CS231n：http://cs231n.stanford.edu/ 參數更新（Parameter Update） 本文參數更新主要針對神經網絡中反向傳播過程中weights和biases的更新方式做的筆記。 SGD 缺點:水平方向平緩，垂直方向陡峭時，SGD容易發生抖動，找到最優解的時間最長 參數更新公式： Momentum 解釋：梯度
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相關文章
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