January 2018
Intermediate to advanced
310 pages
7h 48m
English
Content preview from Deep Learning for Computer Vision
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L1 and L2 regularization
L1 penalizes the absolute value of the weight and tends to make the weights zero. L2 penalizes the squared value of the weight and tends to make the weight smaller during the training. Both the regularizes assume that models with smaller weights are better.
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