Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment

no code implementations • 21 Apr 2020 • Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy

In this work, we introduce a Bayesian approach for optimizing the hyperparameters of an algorithm for training binary communication networks that can be deployed to neuromorphic hardware.

Hyperparameter Optimization

Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks

no code implementations • 4 Feb 2020 • Mihaela Dimovska, Travis Johnston, Catherine D. Schuman, J. Parker Mitchell, Thomas E. Potok

In this work, we study Spiking Neural Networks in two neuromorphic architecture implementations with the goal of decreasing their size, while at the same time increasing their resiliency to hardware faults.