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English version/ch03_DeepLearningFoundation/ChapterIII_DeepLearningFoundation.md
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@ -137,7 +137,7 @@ Traditional machine learning needs to define some manual features to purposefull
### 3.2.1 Forward Propagation and Back Propagation? ### 3.2.1 Forward Propagation and Back Propagation?
There are two main types of neural network calculations: foward propagation (FP) acts on the input of each layer, and the output is obtained by layer-by-layer calculation; backward propagation (BP) acts on the output of the network. Calculate the gradient from deep to shallow to update the network parameters. There are two main types of neural network calculations: forward propagation (FP) acts on the input of each layer, and the output is obtained by layer-by-layer calculation; backward propagation (BP) acts on the output of the network. Calculate the gradient from deep to shallow to update the network parameters.
** Forward Propagation** ** Forward Propagation**