Efficient GPU training of SNNs using approximate RTRL | James Knight | 2021 Neuromorphic-compatible algorithms,SNUFA Workshop 2021 gpu,James Knight,training,University of Sussex 1 year ago/ 0 views You may also like Event-based datasets for classification and pose... 12 views 18:55 TinyML Audio Algorithms- Shih-Chii Liu- tinyML Summit 2020 11 views 47:06 EEG and methods : Claire Pelofi – Day 2 (AC)-... 9 views 1:04:11 Neuromorphic sensing and processing for tiny autonomous... 9 views 1:12:30 ONM – Training robust CV models for neuromorphic... 9 views «123…13»Page 2 of 13