Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Abstract: As the scale of deep learning models continues to expand, computational cost has become a major challenge. Model parallelism techniques, especially pipeline parallelism, have been shown to ...