NEURAL NETWORKS INTERPRETATION: THE FOREFRONT OF GROWTH REVOLUTIONIZING AVAILABLE AND OPTIMIZED NEURAL NETWORK EXECUTION

Machine learning has made remarkable strides in recent years, with algorithms achieving human-level performance in various tasks. However, the true difficulty lies not just in creating these models, but in deploying them efficiently in practical scenarios. This is where machine learning inference comes into play, emerging as a key area for scientis