Norse: A library for gradient-based learning in Spiking Neural Networks
Schedule
Wednesday, November 3, 2021
16:30 UTC
Catherine Schuman
Dr
Oak Ridge National Laboratory
Host: SNUFA
Recording
Open recording
Event Information
Recording
Available
Host
SNUFA
Duration
70 minutes
Abstract
Norse aims to exploit the advantages of bio-inspired neural components, which are sparse and event-driven - a fundamental difference from artificial neural networks. Norse expands PyTorch with primitives for bio-inspired neural components, bringing you two advantages: a modern and proven infrastructure based on PyTorch and deep learning-compatible spiking neural network components.
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