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相关概念视频

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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...
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Survival Tree01:19

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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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Neural Circuits01:25

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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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Neuroplasticity01:01

Neuroplasticity

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Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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相关实验视频

Updated: Jul 25, 2025

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在CNN架构设计中嵌入频道修剪,使用双层进化方法.

Hassen Louati1, Ali Louati2, Slim Bechikh1

  • 1SMART Lab, University of Tunis, ISG, Tunis, Tunisia.

The Journal of supercomputing
|June 26, 2023
PubMed
概括

本研究介绍了CNN-D-P,这是一个新的双层优化方法,用于设计和修剪卷积神经网络 (CNN). 它集成了架构生成和通道修剪,以提高深度学习模型的效率和准确性.

关键词:
两级优化优化 两级优化DCN 设计 DCN 设计进化算法是一种进化算法.修剪 修剪 修剪 修剪

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科学领域:

  • 计算机视觉 计算机视觉
  • 机器学习 机器学习
  • 深度学习 (Deep Learning) 是一种深度学习.

背景情况:

  • 深度神经网络,特别是卷积神经网络 (CNN),推动了机器学习和计算机视觉的进步.
  • 在CNN中超参数选择至关重要,因为随着层次的增加,搜索空间呈指数增长.
  • 现有的修剪算法需要预训练的架构,在设计阶段忽视修剪.

研究的目的:

  • 为应对优化CNN架构设计和同时进行道修剪的挑战.
  • 开发一个双层优化框架,集成架构生成和修剪流程.
  • 通过统一的设计和修剪策略,提高CNN的效率和准确性.

主要方法:

  • 开发了一种双层优化方法,上层用于架构生成,下层用于道修剪.
  • 基于共进化的迁移算法被用作双级优化的搜索引擎.
  • 拟议的方法CNN-D-P (双层CNN设计和修剪) 在CIFAR-10,CIFAR-100和ImageNet数据集上进行了评估.

主要成果:

  • 在优化图像分类CNN架构方面,CNN-D-P方法证明了其有效性.
  • 与最先进的架构进行比较测试验证了拟议技术的性能.
  • 双层方法显示了将中等质量的架构转化为高效和准确的模型的潜力.

结论:

  • 集成的CNN设计和修剪的双层优化是开发高效的深度学习模型的一个有希望的方向.
  • CNN-D-P为超参数优化和网络修剪的关键挑战提供了一种新的解决方案.
  • 该方法在基准数据集上的验证表明它适用于现实世界的计算机视觉任务.