The conversation between human and AI assistant.
What are some unsolved problems in deep machine learning?
What about interpretability? How can researchers improve the interpretability of deep learning models?
Yes, interpretability is a major challenge in deep machine learning. Researchers are exploring a number of different methods to address this challenge, including techniques for explaining the decisions made by deep learning models and for visualizing the internal workings of these models. One promising area of research is in developing hybrid models that combine the strengths of deep learning with more interpretable models, such as decision trees or rule-based models.