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Pytorch-Deep-Neural-Networks-master

于 2020-10-14 发布
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文件列表：

Pytorch-Deep-Neural-Networks-master, 0 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\README.md, 6475 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\core, 0 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\core\conv_module.py, 18008 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\core\epoch.py, 13793 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\core\func.py, 8011 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\core\layer.py, 11062 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\core\module.py, 13446 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\core\pre_module.py, 4064 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\core\run_n.py, 4202 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data, 0 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\MNIST, 0 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\MNIST\processed, 0 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\MNIST\processed\test.pt, 7920462 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\MNIST\processed\training.pt, 47520462 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\MNIST\raw, 0 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\MNIST\raw\t10k-images-idx3-ubyte, 7840016 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\MNIST\raw\t10k-labels-idx1-ubyte, 10008 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\MNIST\raw\train-images-idx3-ubyte, 47040016 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\MNIST\raw\train-labels-idx1-ubyte, 60008 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE, 0 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\TE[fault].xlsx, 5797241 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\TE[var].xlsx, 3652841 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test, 0 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d00_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d01_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d02_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d03_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d04_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d05_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d06_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d07_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d08_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d09_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d10_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d11_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d12_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d13_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d14_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d15_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d16_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d17_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d18_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d19_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d20_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\test\d21_te.dat, 799680 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train, 0 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d00.dat, 416500 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d01.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d02.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d03.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d04.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d05.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d06.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d07.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d08.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d09.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d10.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d11.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d12.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d13.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d14.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d15.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d16.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d17.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d18.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d19.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d20.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\TE\train\d21.dat, 399840 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\dsae_dataset.py, 870 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\gene_dynamic_data.py, 10146 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\data\load.py, 3101 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\example, 0 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\example\cross_entropy_loss.py, 2812 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\example\mnist_cls.py, 1887 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\example\simple_ae.py, 4379 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\example\te_cls.py, 1104 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\example\understand_gradient.py, 3670 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\example\vae_generate.py, 666 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\image, 0 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\image\CD-K.jpg, 406898 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\image\EDBN.jpg, 747816 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\model, 0 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\model\README.md, 3481 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\model\cnn.py, 1191 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\model\connect.py, 992 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\model\dae.py, 1878 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\model\dbn.py, 5336 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\model\dnn.py, 1063 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\model\dsae.py, 5043 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\model\mmdgm_vae.py, 2584 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\model\resnet.py, 5736 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\model\sae.py, 3829 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\model\svm.py, 5279 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\model\vae.py, 3080 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\model\vgg.py, 5061 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\model\vision.py, 670 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\visual, 0 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\visual\plot.py, 12886 , 2020-06-08
Pytorch-Deep-Neural-Networks-master\visual\visual_weight.py, 8599 , 2020-06-08

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发表评论

0 个回复

  • HammingWindow
    汉明窗代码，C代码，很有用的代码,我自己编写的，很好很强大！(Hamming window code, C code, very useful code, what I have written, very very powerful!)
    2013-04-24 13:55:04下载
    积分：1
  • GridCtrl
    继承MFCListCtrl, 可编辑的列表框，在列表中可以包括编辑框Edit, 下拉框ComboBox, 单选Radio, 复选CheckBox, IP地址IPAddressCtrl, 进度条（只能显示)(Inheritance MFCListCtrl, editable list box, you can include in the list edit box Edit, drop-down box, ComboBox, Radio Radio, check CheckBox, IP address IPAddressCtrl, the progress bar (only display))
    2010-12-31 17:46:39下载
    积分：1
  • double_windows_example
    一个简单的通过按钮弹出新窗口的例子，使用PyQt5&Python3编写。重点是QDialog。(A simple example of popping up a new window through a button is written in PyQt5 & Python 3. The emphasis is on QDialog.)
    2018-12-11 15:17:26下载
    积分：1
  • 785744
    使程序窗口总在最前面显示，C++Builder精选编程学习源码，很好的参考资料。(The program window display at the front, C++Builder select learning programming source code, a good reference.)
    2013-11-22 06:25:30下载
    积分：1
  • XtremeToolkit1122
    大名鼎鼎的界面库，就不用我介绍了吧。这是当前最新的版本。安装后有全部源代码，序列号也在里面。(The well-known interface library, would not I introduce you. This is the latest version. After the installation has all the source code, the serial number is also inside.)
    2008-05-02 23:35:43下载
    积分：1
  • pb.net
    PowerBuilder 11 .NET WINFORM的例子(PowerBuilder 11 .NET WINFORM Example)
    2021-03-03 10:29:33下载
    积分：1
  • 35974
    批量查询域名备案源码程序，结合易语言扩展界面支持库和互联网支持库，调用API函数通过HTTP读取，搜索网站域名备案信息。(Bulk Check Domain record source program, combined with easy language support library and Internet expansion interface support library , call the API function via HTTP read, search, domain record information .)
    2016-06-23 13:03:16下载
    积分：1
  • watch
    自绘的仪表控件 利用双缓冲绘制 可自行修改使用(Since the drawing instrument control Using double buffer drawing Can be used to modify )
    2016-05-01 10:58:49下载
    积分：1
  • 自动注册柯达组件
    自动批量注册柯达主件，供PB使用OLE开发图像缩放，翻转，打印功能(Automatic batch registration of Kodak components for PB to use OLE to develop image zooming, flipping and printing functions)
    2020-06-19 15:20:02下载
    积分：1
  • Desktop
    这是MFC控件应用的练习，如按钮、 列表框、进度条等等。 对于新人来说，是很好的练习.(This practice is applied MFC controls such as buttons, list boxes, progress bars and so on. For newcomers, it is good practice.)
    2011-11-04 17:01:43下载
    积分：1
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