Adaptive learning rate of SpikeProp based on weight convergence analysis
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Publication:889396
DOI10.1016/j.neunet.2014.12.001zbMath1325.68197OpenAlexW2025166739WikidataQ47414938 ScholiaQ47414938MaRDI QIDQ889396
Publication date: 6 November 2015
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.neunet.2014.12.001
Related Items
Robust spike-train learning in spike-event based weight update, The convergence analysis of spikeprop algorithm with smoothing \(L_{1/2}\) regularization, Adaptive learning rate of SpikeProp based on weight convergence analysis, Second-order hyperparameter tuning of model-based and adaptive observers for time-varying and unknown chaotic systems, SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks, Robust learning in SpikeProp, Analyzing and Accelerating the Bottlenecks of Training Deep SNNs With Backpropagation
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Cites Work
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