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从ReLU网络到尖端神经网络的精确映射

Ana Stanojevic1, Stanisław Woźniak2, Guillaume Bellec3

  • 1IBM Research Europe - Zurich, Rüschlikon, Switzerland; École polytechnique fédérale de Lausanne, School of Life Sciences and School of Computer and Communication Sciences, Lausanne EPFL, Switzerland.

Neural networks : the official journal of the International Neural Network Society
|September 24, 2023
PubMed
概括

我们开发了一种精确的方法,将深度直化线性单元 (ReLU) 网络转换为节能尖端神经网络 (SNN). 这种方法实现了零性能损失,使得低功耗的人工智能应用成为可能.

关键词:
深度网络转换,深度网络转换在 ReLU 网络中使用 ReLU 网络.单尖网络是一个单尖的网络.尖的神经网络的神经网络.时间编码时间编码.

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相关概念视频

Reducing Line Loss01:18

Reducing Line Loss

In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...