Value Change Coverage measures neuron activation changes in a neural network during testing. It evaluates differences in activation values exceeding a defined threshold, providing insights into network behaviour.
Key Features:
- Neuron Activation Monitoring: Tracks how neurons in the network activate in response to inputs.
- Evaluation of Changes: Identifies significant differences in activation values during testing.
- Testing Insight: Highlights areas of the model that may require additional testing or refinement.
- Performance Assessment: Assists in evaluating how well the model handles diverse inputs.
- Design Optimisation: Supports improvements in the neural network’s structure and functionality.
Value Change Coverage is critical for ensuring neural networks are reliable and responsive to a range of inputs. It helps identify weaknesses, strengthens robustness and improves overall model performance.