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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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    由opencv2.3.1+vs2008编写的界面程序，可以通过界面对话框上的控制按钮来控制笔记本电脑上相机的开启与关闭。(Opencv2.3.1+vs2008 written by the interface program, you can control on your laptop on and off the camera via the control buttons on the dialog interface.)
    2013-12-10 14:15:44下载
    积分：1
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    Wifi设置源码例程，程序结合易语言扩展界面支持库，使用DOS命令设置Wifi。(Wifi Set source routines, programs combined with easy language support library expansion interface , use the DOS command Wifi.)
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    使用sshe框架 便于界面美观 希望有所帮助 望各位不吝赐教( Sshe easy to use and beautiful interface framework to help Hope you wish wing)
    2015-01-21 08:54:43下载
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    Internet Explorer 4 style UI IE4.0风格的界面效果(29KB)(style UI Batteries style interface effects (Take))
    2005-04-20 20:36:38下载
    积分：1
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    在MFC平台环境下，用C++编写的关于编辑框和调用窗口的程序。(The MFC platform environment, the edit box and call window with C++ written procedures.)
    2012-11-30 21:37:09下载
    积分：1
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    淘宝网POST登陆易语言源码，程序结合易语言扩展界面支持库和互联网支持库，调用易语言模块彗星HTTP应用模块.ec实现淘宝网POST登陆功能。(Taobao POST landed easy language source code , the program expanded interface combined with easy language support library and Internet support library , call easy language module Comet HTTP POST application modules .ec achieve Taobao sign-on function .)
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