Saturation is a metric used for identifying the intrinsic dimensionality of features in a layer.
A visualization of how saturation changes over training and can be used to optimize network topology is provided at https://github.com/justinshenk/playground:
Covariance matrix of features is computed online:
for B batches of layer output matrix Al and n number of samples.
Note
For more information about how saturation is computed, read "Feature Space Saturation during Training".
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