Assessing the Performance of Analog Training for Transfer Learning

Omobayode Fagbohungbe, Corey Lammie, Malte J. Rasch +3

Analog in-memory computing is a next-generation computing paradigm that promises fast, parallel, and energy-efficient deep learning training and transfer learning (TL). However, ac…