December 2019
Intermediate to advanced
468 pages
14h 28m
English
Content preview from Advanced Deep Learning with Python
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Cost functions
Besides MSE, there are also a few other loss functions that are commonly used in regression problems. The following is a non-exhaustive list:
- Mean absolute error (MAE) is the mean of the absolute differences (not squared) between the network output and the target. The following is the MAE graph and formula:
One advantage of MAE over MSE is that it deals with outlier samples better. With MSE, if the difference of a sample is 
, it increases exponentially (because of the square). We'll get an outsized weight of this sample compared ...
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