NEURAL NETWORKS ANALYSIS: THE APPROACHING BREAKTHROUGH IN ATTAINABLE AND STREAMLINED NEURAL NETWORK ADOPTION

Machine learning has made remarkable strides in recent years, with models matching human capabilities in numerous tasks. However, the true difficulty lies not just in training these models, but in utilizing them effectively in everyday use cases. This is where machine learning inference becomes crucial, emerging as a primary concern for scientists