Optimizing Deep Neural Network Training Efficiency with Cyclic Precision Schedules

The author explores the efficiency of deep neural network training through cyclic precision schedules, highlighting the correlation between model performance and training cost. By adjusting precision dynamically, CPT offers a simple tool to balance performance and efficiency in DNN training.