Description
Machine-learning model structures can be inspected visually, helping users understand layers, tensors, inputs, outputs, and supported model formats. It is useful for developers and researchers reviewing neural-network files.
Visualization helps with inspection but does not prove model quality, safety, or accuracy. Treat it as a model-understanding tool before deeper testing.