Technology Sessions: A SiOx RRAM Based Hardware With Spike Frequency Adaptation for Power Saving Continual Learning in Convolutional Neural Networks I. Munoz-Martin DOI 10.17023/xy94-xa54 EDS Members: $5.00 IEEE Members: $10.00 Non-members: $20.00 Length: 00:57:35 16 Jun 2020 Tags: technology sessions siox rram IEEE power saving spike frequency convolutional neural networks eds i munoz martin vlsi adaptation hardware continual learning video
16 Jun 2020 Tags: technology sessions siox rram IEEE power saving spike frequency convolutional neural networks eds i munoz martin vlsi adaptation hardware continual learning video