June 2020
Intermediate to advanced
382 pages
11h 39m
English
Content preview from 40 Algorithms Every Programmer Should Know
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Pooling
An important part of processing multimedia data for the purpose of machine learning is downsampling it. This provides two benefits:
It reduces the overall dimensionality of the problem, decreasing the time needed to train the model in a major way.
Through aggregation, we abstract the unnecessary details in the multimedia data, making it more generic and more representative of similar problems.
Downsampling is performed as follows:
Note that we have replaced every block of four pixels with one pixel, choosing the highest value of the four pixels to be the value of that one pixel. This means that we have downsampled by a factor of ...