The loss functions for Neural Network in PyTorch

A loss function is the function which can get the difference(gap) between a model's predictions and true values to evaluate how good a model is. *Loss function is also called Cost Function or Error Function.

There are popular loss function as shown below:

(1) L1 Loss:

• can compute the average of the sum of the absolute differences between a model's predictions and true values.


• 's formula is as shown below:
  
  


• is also called Mean Absolute Error(MAE).


• is L1Loss() in PyTorch. …

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