DEEP LEARNING INTERPRETATION: THE NEXT BOUNDARY ENABLING UBIQUITOUS AND LEAN ARTIFICIAL INTELLIGENCE FRAMEWORKS

Machine learning has advanced considerably in recent years, with models achieving human-level performance in various tasks. However, the main hurdle lies not just in training these models, but in implementing them effectively in practical scenarios. This is where machine learning inference comes into play, arising as a primary concern for experts a