Deep learning I - IV Deep neural network - Forward and backward propagation正向傳播和反向傳播模塊化
Forward and backward propagation 可以將正向傳播和反向傳播模塊化。只需構建兩個模塊程序，即可完成模型的訓練。 正向傳播輸入爲A[l-1]，輸出爲A[l]，Cache爲Z[l]，W[l]和b[l] (W[l]和b[l]爲了程序開發方便在這裏作爲cache存儲) 反向傳播輸入爲dA[l]，輸出爲dA[l-1]，dW[l]，db[l]
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相關文章
- 1. Deep Learning - 2 反向傳播
- 2. 《neural network and deep learning》題解——ch02 反向傳播
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