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Machine Learning with Swift
book

Machine Learning with Swift

by Alexander Sosnovshchenko
February 2018
Intermediate to advanced
378 pages
10h 14m
English
Packt Publishing
Content preview from Machine Learning with Swift

Debugging and visualization

When our usual code has a bug, it either doesn't work or works in the wrong way. When ML code has a bug, it often continues working but just degrades in quality. Because machine learning algorithms can be extremely complex, good debugging and visualization tools are of extreme value. For TensorFlow for example, such a tool is TensorBoard, which allows exploring model graphs, weight distributions, loss charts, and so on.

For now, humanity has not invented a better way to understand data than to visualize it. Often, 10 minutes of writing code for visualization lead to more insights than hours of debugging on a console. As Prof. Ben Shneiderman from the University of Maryland once noted in his talk:

"Statistics without ...
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Publisher Resources

ISBN: 9781787121515