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.