학술논문
Live Demonstration: On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor
Document Type
Conference
Source
2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) Artificial Intelligence Circuits and Systems (AICAS), 2020 2nd IEEE International Conference on. :128-128 Aug, 2020
Subject
Language
Abstract
This live demonstration will show real-time, embedded learning of gestures shown to a dynamics vision sensor in neuromorphic hardware. A multi-layer spiking neural network implemented in the Loihi neuromorphic processor partially trained on 11 classes of gestures will be able to learn new classes of gestures shown to the vision sensor by using a combination of transfer learning and local synaptic plasticity. Visitors will experience real-time learning of new classes of gestures they show to the vision sensor whose data is processed in real-time by the network on a connected neuromorphic chip.