Sign-Sign Coverage evaluates how changing the sign of each neuron affects other neurons in subsequent layers within a neural network during tests. This metric helps determine how individual neuron activations influence overall network behaviour.
Key Aspects:
- Neuron Interaction Analysis: Assesses interactions between neurons across layers based on sign changes.
- Behavioural Insights: Provides insights into how individual neuron outputs affect downstream processing.
- Testing Comprehensiveness: Ensures that all potential interactions are tested for thorough evaluation.
Sign-sign coverage contributes to understanding neural network dynamics, helping improve model performance through targeted adjustments based on interaction patterns.