Fault Tolerant Deep Neural Networks for Detection of Unrecognizable Situations
Fault Tolerant Deep Neural Networks for Detection of Unrecognizable Situations is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include anomaly detection, deep learning, dependability, artificial intelligence, artificial neural network, fault tolerance, fault detection and isolation, adversarial machine learning, machine learning, and computer science. International audience.