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File
- H1=tf([4.122e-08 1.047e-11],[1 0.0001487 3.563e-11]); H2=tf([-1.752e-05 - 1.992e-09],[1 0.0001474 7.497e-08]); H = [ H1 , H2 ]
dataSet_processing
- 包含ppt课件、原始数据集、C++代码和处理结果onehot、TF、TFIDF矩阵等文件，自学大礼包(Including ppt courseware, raw data sets, C++ code and processing results onehot, TF, TFIDF matrix files, self study spree)
min-char-rnn
- RNN 学习代码，没有借助框架，纯代码实现(This is a RNN demo tutorial, rely on no framework like TF, just write with basic python language)
莫烦tf练习
- tensorflow深度学习，莫烦入门教程代码(Tensorflow deep learning)
mt4R
- 你将EA附加到任何你想要的1H图表。 如果你要交易的一篮子（即美元兑加元、欧元兑美元、英镑兑美元）你要把EA只有其中的3对。 从arbomat（TF arbomat可以是任何你想要的）你读3的值（即80，100，20），你必须输入这些值为3对窗口值设置为篮子和目标神奇的数字（如果你愿意）。这就是全部. 你可以同时管理不同的篮子，但记住每个篮子必须有一个不同的魔术号码… - Sym(you attach the EA to any 1h chart you want. If you a
Kmeans
- 算法思想：提取文档的TF/IDF权重，然后用余弦定理计算两个多维向量的距离来计算两篇文档的相似度，用标准的k-means算法就可以实现文本聚类。源码为java实现(Algorithm idea: extract the TF/IDF weight of the document, then calculate the distance between two multidimensional vectors by cosine theorem, calculate the similarity
tfidf.tar
- "This file contain many of program in tf idf Algorithms with Object-Oriented Design Patterns in Python"
SD
- stm32f_103 SPI_SD卡驱动 spi驱动 SD卡 TF卡(Stm32f_103 SPI_SD card driver SPI driver SD card, TF Card)
cnn-text-classification-tf-master
- Hi all, I want to work with Minipar parser but the home page: http://webdocs.cs.ualberta.ca/~lindek/minipar/ is dead. Could anyone please share me this file ?
连连看javafx
- 连连看，用javafx实现， this.setOnMouseClicked(e -> { if (e.getButton() == MouseButton.PRIMARY) { x2 = (int) ((e.getX() - w) / w); y2 = (int) ((e.getY() - w) / w); g.drawImage(new Image("llkpics/checked.png"), x2 * w + w, y2 *
Sunny号实验27-SDIO-TF卡实验
- 使用单片机实现SD卡储存器功能，对于初学者非常有用(It is very useful for beginners to realize the memory function of SD card by using single chip microcomputer.)
rbm-ae-tf-master
- 用TensorFlow实现自动编码技术。自动编码可以提取特征。用于分类和回归(Automatically encode with TensorFlow. Automatic coding can extract features. Used for classification and regression)
TF-boy-WeiXinTiaoYiTiao_python-master
- 微信跳一跳usb接口连接手机就可以无限刷分，需要安装python2.6和Java8(WeChat jumps a USB interface to connect to a mobile phone with unlimited brushes and needs to install python2.6 and Java8)
greshbands
- function[]=gershbands(G) switch class(G) case 'tf' % Transfer Function Form G_TF=G; [num,den]=tfdata(G); for i=1:size
ssm
- function[]=gershbands(G) switch class(G) case 'tf' % Transfer Function Form G_TF=G; [num,den]=tfdata(G); for i=1:si
alternating-reader-tf-master
- NLP英文阅读理解 数据集采用的CBT数据集(NLP QAsystem DATASET:CBT)
tfidf算法
- 简单计算文档中分好词的词TFIDF值，用于提取文章的关键词。(Simple calculation of TFIDF values used to extract Key words of articles)
cnn-text-classification-tf-master
- It is slightly simplified implementation of Kim's [Convolutional Neural Networks for Sentence Classification](http://arxiv.org/abs/1408.5882) paper in Tensorflow.
TF-IDF
- 用lucene实现TFIDF计算，并进行排序(Implement TFIDF computing with Lucene and sort out)
tf-adnet-tracking-master
- 基于强化学习深度学习用于单目标跟踪算法的源码(Based on reinforcement learning, deep learning is used for single target tracking algorithm.)