Machine Learning - Coursera week5 Backpropagation in Practice
1. Gradient Checking 我們討論瞭如何進行前向傳播以及後向傳播，從而計算導數。但有一個不幸的消息是，它們有很多細節會導致一些BUG。 如果你用梯度下降來計算，你會發現表面上它可以工作，實際上， J雖然每次迭代都在下降，但是可能表面上關於theta的函數J在減小而你最後得到的結果實際上有很大的誤差。有一個想法叫梯度檢驗Gradient Checking。 假設我們有一個關於thet
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