parent
c2960620e2
commit
7f9ec0a996
|
|
@ -137,7 +137,7 @@ Traditional machine learning needs to define some manual features to purposefull
|
|||
|
||||
### 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**
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue