February 2018
Intermediate to advanced
378 pages
10h 14m
English
Content preview from Machine Learning with Swift
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Loss functions
Loss function is a necessary part, because it is what we want to minimize during the training. You can find a few popular loss functions in the table:
| Name | Formula | Usually used for |
| Mean squared error or L2-loss |  |
Regression |
| Mean absolute error or L1-loss |  |
Regression |
| Categorical cross entropy |  |
Softmax multiclass classification |
Where y is a ground-truth vector and ŷ is a vector of predictions of length n.
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