Researchers ‘Drop the Zeroes’ to Speed Deep Learning
Researchers at the King Abdullah University of Science and Technology (KAUST) are now proposing a method of accelerating distributed deep learning by dropping data blocks with zero values, which are frequently produced during distributed machine learning processes that use large datasets.
Researchers at the King Abdullah University of Science and Technology (KAUST) are now proposing a method of accelerating distributed deep learning by dropping data blocks with zero values, which are frequently produced during distributed machine learning processes that use large datasets.
distributed, method, KAUST, technology, science, Researchers, large datasets, zero values, data blocks, deep learning, machine learning processes, King Abdullah University
