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face_detector
face detector face detector face detector
- 2010-12-06 18:59:09下载
- 积分：1
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ModelicaTutorialFritzson
this tutorial is about modelica.. a nice program to make simulation of sistems and make controls... is objects oriented program. is free software.
- 2010-02-12 04:29:22下载
- 积分：1
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MATLABPR2012bPcrack
matlab 2012b 完美破解的方法，77个工具箱都可以用(matlab 2012b crack perfect way 77 toolbox can be used)
- 2013-09-30 09:42:03下载
- 积分：1
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lvq
学习向量量化神经网络模型与学习算法及MATLAB实现(Learning vector quantization neural network model and learning algorithm)
- 2011-12-01 18:23:00下载
- 积分：1
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xiyangcan-cha5-8
本程序是以北京西洋参路口数据为例，采集一天24H数据，并对异常交通数据做识别、修复处理，用结合减法聚类和模糊聚类算法对路口数据实现自动划分(This procedure is based on data of Beijing Ginseng junctions, 24H data collection day, and do identify abnormal traffic data, repair treatment, with a combination of subtractive clustering and fuzzy clustering algorithm for automatic classification of data on the intersection)
- 2010-08-05 15:11:26下载
- 积分：1
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UML_and_Rose
WindowsXP Windows2000 WindowsNT 平台， 可以使用的UML开发工具教程(Windows XP Windows 2000 Windows NT platform, UML can be used in the development of tools and guidance)
- 2006-10-17 21:03:27下载
- 积分：1
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bolztmann
使用bolztmann机实现多层分类网络，内有mnist数据集(Machine to achieve multiple classifiers using bolztmann network data sets within mnist)
- 2011-06-08 19:01:15下载
- 积分：1
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nsga_2
我自己编写的简单的nsga2程序，对于初次接触该算法的朋友会有很大帮助(I have written a simple nsga2 program will be very helpful for the initial contact with the friends of the algorithm)
- 2013-04-16 09:29:54下载
- 积分：1
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p
说明： to detect branch and end points of bones
- 2015-05-08 14:56:43下载
- 积分：1
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一个双向LSTM程序 BiLSTM
说明： 一个双向LSTM程序
Long Short Term 网络—— 一般就叫做 LSTM ——是一种 RNN 特殊的类型，可以学习长期依赖信息。LSTM 由Hochreiter & Schmidhuber (1997)提出，并在近期被Alex Graves进行了改良和推广。在很多问题，LSTM 都取得相当巨大的成功，并得到了广泛的使用。
LSTM 通过刻意的设计来避免长期依赖问题。记住长期的信息在实践中是 LSTM 的默认行为，而非需要付出很大代价才能获得的能力！
所有 RNN 都具有一种重复神经网络模块的链式的形式。在标准的 RNN 中，这个重复的模块只有一个非常简单的结构，例如一个 tanh 层。(A bidirectional LSTM program
Long short term network, commonly known as LSTM, is a special type of RNN that can learn long-term dependent information. LSTM was proposed by Hochreiter & schmidhuber (1997) and recently improved and promoted by Alex graves. In many problems, LSTM has achieved great success and has been widely used.
LSTM is designed to avoid long-term dependency. Remember that long-term information is the default behavior of LSTM in practice, not the ability to acquire it at a great cost!
All RNNs have a chained form of repetitive neural network modules. In the standard RNN, this repetitive module has only a very simple structure, such as a tanh layer.)
- 2021-04-21 22:08:49下载
- 积分：1
