Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
about
Hardware-Efficient On-line Learning through Pipelined Truncated-Error Backpropagation in Binary-State Networks.Weighted Synapses Without Carry Operations for RRAM-Based Neuromorphic Systems.Event-Based, Timescale Invariant Unsupervised Online Deep Learning With STDP.On Practical Issues for Stochastic STDP Hardware With 1-bit Synaptic WeightsDeep Learning With Spiking Neurons: Opportunities and ChallengesNeural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded LearningDeep Supervised Learning Using Local ErrorsTraining Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-TuningA continuous-time MaxSAT solver with high analog performance
P2860
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P2860
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
description
2017 nî lūn-bûn
@nan
2017 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
name
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
@ast
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
@en
type
label
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
@ast
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
@en
prefLabel
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
@ast
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
@en
P2093
P2860
P356
P1476
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
@en
P2093
Charles Augustine
Emre O Neftci
Georgios Detorakis
Somnath Paul
P2860
P356
10.3389/FNINS.2017.00324
P577
2017-06-21T00:00:00Z
P698
P818
1612.05596