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Learning-hierarchical-invariant
deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。(deep learning hierarchy of learning, it is also a certain theoretical basis that simulate the human brain' s cerebral cortex, visual areas of the cerebral cortex is hierarchical work, the more the bottom of the visual cortex is more sensitive to those underlying characteristics . In summary, feature learning so many application needs the support of the drive and biological neural theoretically doomed it to be able to play a certain role in the field of AI. Some experiments show that some feature learning learning to feature almost better than all the other features of the effect of the ISA model such as this is one.)
- 2013-01-04 22:42:14下载
- 积分：1
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MATLAByingyong
MATLAB符号运算在高阶动态电路中的应用，符号运算 高阶动态电路 MATLAB分析(MATLAB symbolic operation in Dynamic Circuit in the application of symbolic computation Dynamic Circuit MATLAB analysis)
- 2010-05-27 18:57:57下载
- 积分：1
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Compar_fuzzy_pid
fuzzy pid and pid with disturbance included
- 2012-09-26 19:04:47下载
- 积分：1
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fd
说明： 有限差分声波波动方程正演。主要用于地震勘探正演(Finite difference method of acoustic wave equation forward modeling)
- 2015-04-09 12:04:40下载
- 积分：1
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高维降低维 tSNE matlab
the function of tSNE_matlab
- 2020-11-30 18:29:28下载
- 积分：1
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1
说明： 本文详细而系统地介绍了Matlab与labview两种应用程序混合编程的方法和应用特点。(In this paper, a detailed and systematic introduction to Matlab and LabVIEW applications two hybrid programming methods and application characteristics.)
- 2008-12-18 22:14:34下载
- 积分：1
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quzao2
传统的去噪算法在matlab环境下实现
(Traditional denoising algorithm to achieve the in matlab
)
- 2011-05-06 14:06:34下载
- 积分：1
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111
直流信号和阶跃信号的傅里叶分析和频谱图.(Fourier analysis and spectrogram DC signal and step signal.)
- 2015-04-13 19:02:47下载
- 积分：1
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masscal
scalar control of the induction machine
- 2009-02-23 16:26:33下载
- 积分：1
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QIU
通用卷积码的编码encoding for ALL RSC(encoding for ALL RSC)
- 2009-05-30 01:39:36下载
- 积分：1
