【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
- 1. 【CS231n筆記】06 Training Neural Networks, Part 2
- 2. CS231N-6&7-Training Neural Networks
- 3. CS231N-Lecture6 Training Neural Network part-2
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- 5. 【CS231n】Lecture 5:Training Network，Part I
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- 9. [cv231n] Lecture 7 | Training Neural Networks II
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