Quantification of Deep Neural Network Prediction Uncertainties for VVUQ of Machine Learning Models
Quantification of Deep Neural Network Prediction Uncertainties for VVUQ of Machine Learning Models
Recent performance breakthroughs in Artificial intelligence (AI) and Machine learning (ML), especially advances in Deep learning (DL), the availability of powerful, easy-to-use ML libraries (e.g., scikit-learn, TensorFlow, PyTorch.), and increasing computational power have led to unprecedented interest in AI/ML among nuclear engineers. For physics-based computational models, Verification, Validation and Uncertainty …