Explaining Deep Neural Networks

Understand

Deep neural networks are becoming more and more popular due to their revolutionary success in diverse areas, such as computer vision, natural language processing, and speech recognition.

• However, the decision-making processes of these models are generally not interpretable to users.
• In various domains, such as healthcare, finance, or law, it is critical to know the reasons behind a decision made by an artificial intelligence system.
• Therefore, several directions for explaining neural models have recently been explored.