Tag : backpropagation

AI/ML

Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron.

Newsemia
Related Articles Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron. Int J Neural Syst. 2020 Jun;30(6):2050027 Authors: Kheradpisheh SR, Masquelier T Abstract...
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Review of Laser Raman Spectroscopy for Surgical Breast Cancer Detection: Stochastic Backpropagation Neural Networks.

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Related Articles Review of Laser Raman Spectroscopy for Surgical Breast Cancer Detection: Stochastic Backpropagation Neural Networks. Sensors (Basel). 2020 Nov 02;20(21): Authors: Kothari R, Fong...
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Analyzing and Accelerating the Bottlenecks of Training Deep SNNs with Backpropagation.

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Related Articles Analyzing and Accelerating the Bottlenecks of Training Deep SNNs with Backpropagation. Neural Comput. 2020 Sep 18;:1-44 Authors: Chen R, Li L Abstract Spiking...
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On-Chip Training Spiking Neural Networks Using Approximated Backpropagation With Analog Synaptic Devices.

Newsemia
Related Articles On-Chip Training Spiking Neural Networks Using Approximated Backpropagation With Analog Synaptic Devices. Front Neurosci. 2020;14:423 Authors: Kwon D, Lim S, Bae JH, Lee...
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Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active Learning.

Newsemia
Related Articles Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active Learning. Adv Sci (Weinh). 2020 Mar;7(5):1902607 Authors: Chen CT, Gu GX...
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Experimental Demonstration of Learned Time-Domain Digital Back-Propagation

Newsemia
Sillekens, E; Yi, W; Semrau, D; Ottino, A; Karanov, B; Zhou, S; Law, K; … Killey, RI; + view all Sillekens, E; Yi, W; Semrau,...
AI/ML

On Kernel Method-Based Connectionist Models and Supervised Deep Learning without Backpropagation.

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Related Articles On Kernel Method-Based Connectionist Models and Supervised Deep Learning without Backpropagation. Neural Comput. 2019 Nov 08;:1-39 Authors: Duan S, Yu S, Chen Y,...
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Filling the gaps in a patient’s medical data

Newsemia
MIT researchers have developed a model that can assimilate multiple types of a patient’s health data to help doctors make decisions with incomplete information. The...
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Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems.

Newsemia
Related Articles Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems. Neural Netw. 2018 Sep 01;108:217-223 Authors: Zhang Q, Wu H, Yao...

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