Saliency Maps 2.0 is an Explainable AI (XAI) technique that visualizes the internal workings of neural networks by employing a fusion of saliency maps and gradient-based attribution methods.

Authors

• Person: Ali Rouhanifar Organization: LinkedIn
  Neuro-Symbolic AI: Explainability, Challenges & Future Trends

Sources

• Neuro-Symbolic AI: Explainability, Challenges & Future Trends www.linkedin.com Ali Rouhanifar · LinkedIn via serper

Referenced by nodes (2)

• artificial neural networks concept
• Explainable Artificial Intelligence (XAI) concept