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shrinkpdf
CKVVVVVYUFVLY CUUUU
- 2019-02-22 05:54:35下载
- 积分：1
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Satellite-Segmentation-master
利用卷积神经网络对遥感图像进行分类，能够有效提高分类效率(Classification of Remote Sensing Images by Convolutional Neural Network)
- 2019-05-24 19:52:22下载
- 积分：1
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MF-DFA-master
多重分形去趋势波动分析法，用于不同时间序列的重分形交叉相关性分析。(Multifractal detrended fluctuation analysis)
- 2018-09-06 14:29:01下载
- 积分：1
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install
python document installation guide
- 2010-12-29 05:33:08下载
- 积分：1
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HOG-SVM-classifer-master
利用传统的SVM-HOG算法，进行行人检测(HOG-SVM algorithm for pedestrian detection)
- 2018-11-30 17:50:16下载
- 积分：1
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PHM10
说明： 刀具标准数据集一部分，主要用于机械类，进行故障诊断与预测。官网也存在。(PHM10 dataset, the main task is to realize the function for fault prediction and analysis.)
- 2020-06-03 09:48:49下载
- 积分：1
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pythonprogrammin00zell_bw
PYTHON
programming:
AN INTRODUCTION TO COMPUTER SCIENCE
by JOHN ZELLE
- 2014-10-28 17:13:21下载
- 积分：1
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tensorflow-Tree-CNN-master
cifar-10分类，使用cnn卷积神经网络实现(Cifar-10 classification)
- 2020-09-01 16:58:08下载
- 积分：1
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tensorflow-fcn-master
说明： 卷积网络正在推动着图像识别方面的进步，其不仅改进了整体图像的分类效果，而且在具有结构化输出的局部任务上也取得了进步，包括边界框目标检测，关键点预测等。
自然下一步是改进在像素级别上的预测。其实，以前的方法已经使用卷积网络进行语义分割任务，其中每个像素都被标记为属于目标或属于其他区域，但让具有缺点。
FCN和CNN的区别：CNN卷积层之后连接的是全连接层；FCN卷积层之后仍连接卷积层，输出的是与输入大小相同的特征图，提出一个端到端，像素对像素的全卷积网络用于语义分割任务(Convolution network is promoting the progress of image recognition. It not only improves the classification effect of the whole image, but also makes progress in the local tasks with structured output, including boundary box target detection, key point prediction and so on.
The natural next step is to improve prediction at the pixel level. In fact, previous methods have used convolutional networks for semantic segmentation tasks, in which each pixel is marked as belonging to the target or other regions, but it has disadvantages.
The difference between FCN and CNN: CNN convolution layer is connected with full connection layer after CNN convolution layer; FCN convolution layer is still connected with convolution layer after FCN convolution layer, and the output is the same as the input size of feature map. An end-to-end, pixel to pixel full convolution network is proposed for semantic segmentation task)
- 2020-09-18 19:48:18下载
- 积分：1
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2016-Python-Real World Machine Learning
PDF为文字版，可以复制，一共983页。本书给出了各种机器学习和数据挖掘方法在python中的应用实例，相当详细。京东200多。(Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields, such as search engines, robotics, self-driving cars, and so on. In this course, you will explore various real-life applications. where you can use what algorithms you should use in a given context using this exciting recipe-based guide.)
- 2018-01-25 16:46:31下载
- 积分：1
