February 2018
Intermediate to advanced
378 pages
10h 14m
English
Content preview from Machine Learning with Swift
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Optimizing for inference
Get rid of elements of a graph that are only used for back propagation, and are useless for inference.
For example, batch normalization layers can be merged with the preceding convolution layers into one layer, because both convolution and batch normalization are linear operations.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.