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相关概念视频

Interpreting ¹H NMR Signal Splitting: The (n + 1) Rule01:10

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In the AX proton spin system, proton A can sense the two spin states of a coupled proton X, resulting in a doublet NMR signal with two peaks of equal (1:1) intensity. When proton A is coupled to two equivalent protons (AX2 spin system), the spin states of each X can be aligned with or against the external field, creating three possible scenarios. This results in a 1:2:1  triplet signal, where the central peak corresponds to the chemical shift of A and is twice as large or intense as the...
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Statistical Analysis: Overview01:11

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When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
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Midrange01:07

Midrange

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A somewhat easy to compute quantitative estimate of a data set’s central tendency is its midrange, which is defined as the mean of the minimum and maximum values of an ordered data set.
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Quartile01:15

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Quartiles are numbers that separate the data into quarters. Quartiles may or may not be part of the data. To find the quartiles, first, find the median or second quartile. The first quartile, Q1, is the middle value of the lower half of the data, and the third quartile, Q3, is the middle value, or median, of the upper half of the data. To get the idea, consider the same data set:
1; 1; 2; 2; 4; 6; 6.8; 7.2; 8; 8.3; 9; 10; 10; 11.5
The median or second quartile is seven. The lower half of the...
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The Quantum-Mechanical Model of an Atom02:45

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Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing...
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Detection of Gross Error: The Q Test01:00

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When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
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Updated: May 13, 2025

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
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基于信息的混合精度量化.

Ting Qin1, Zhao Li2, Jiaqi Zhao1

  • 1School of Computer Science and Technology, Shandong University of Technology, Zibo, 255049, China.

Scientific reports
|April 15, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种基于信息的方法,用于混合精度量化,优化位分配以减少模型大小和计算成本. 这种方法有效地最大限度地降低了精度损失,实现了显著的压缩,性能降低最小.

关键词:
信息是信息的.知识的蒸知识的蒸.混合精度定量化混合精度定量化模型的压缩压缩.滑动窗口的窗口是一个滑动窗口.

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 混合精度量化通过减少模型比特宽度来降低计算和内存需求.
  • 在量子化中,不适当的位宽分配会导致资源浪费和模型性能降低.

研究的目的:

  • 提出一种适应性比特宽度分配方法,用于使用信息的混合精度量化.
  • 在模型压缩过程中减轻精度损失和优化资源利用.
  • 为了自动化比特宽度分配,同时保持高模型准确性.

主要方法:

  • 在前进传递过程中计算层输出,并使用滑动窗口平滑值.
  • 动态确定基于平滑平均的比特宽度值,用于自适应层智能分配.
  • 使用Optuna进行超参数优化 (门和窗口大小),将模型准确性作为约束.
  • 将知识蒸与更大的教师模型集成在一起,以指导量子化模型的培训.

主要成果:

  • 在ResNet架构上成功将权重和激活的模型位宽降低到3.6M/3.6MP.
  • 在CIFAR-100上实现了最小的精度损失 (最大0.6%) 和在CIFAR-10上与全精度模型相比的精度.
  • 证明了模型压缩和性能的有效平衡.

结论:

  • 提出的基于信息的方法有效地优化了混合精度量化.
  • 适应性比特宽度分配可以显著降低模型大小和计算要求,而不会影响准确性.
  • 知识蒸进一步提高了压缩模型的性能.