ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing

Lignende værker

• Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware
  af: Stöckel, Andreas, et al.
  Udgivet: (2017)
• Magnetic Tunnel Junction Based Long-Term Short-Term Stochastic Synapse for a Spiking Neural Network with On-Chip STDP Learning
  af: Srinivasan, Gopalakrishnan, et al.
  Udgivet: (2016)
• Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning
  af: Chankyu Lee, et al.
  Udgivet: (2018-08-01)
• Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning
  af: Lee, Chankyu, et al.
  Udgivet: (2018)
• Stochastic Learning in Oxide Binary Synaptic Device for Neuromorphic Computing
  af: Shimeng eYu, et al.
  Udgivet: (2013-10-01)