Network Introspection#
Network introspectors help analyze model performance, offering suggestions for how to improve model efficiency and size.
Principal Filter Analysis#
Guide neural network compression by removing redundant filters detected by correlated filter responses, to target a minimum loss in accuracy, or a specific model footprint.
Inactive Unit Analysis#
Evaluates the extent to which units are inactive for a given set of probe data points by computing aggregate statistics using the unit responses to the input probes.