Tripp, Charles Edison

1. Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design Recommendations
   2024/03/13 by Charles Tripp, Jordan Perr‐Sauer, Tripp, Charles Edison +10 · 11 citations
   Energy · Engineering · #Artificial Intelligence (cs.AI) #Energy Efficiency and Management #Energy Load and Power Forecasting #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Smart Grid Energy Management
2. The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks
   2022/07/25 by Charles Tripp, Jordan Perr‐Sauer, Tripp, Charles Edison +6 · 1 citation
   Computer Science · Materials Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Machine Learning in Materials Science #Neural Networks and Applications