登录
首页 » Python » Pytorch-Deep-Neural-Networks-master

Pytorch-Deep-Neural-Networks-master

于 2020-10-14 发布
0 117
下载积分: 1 下载次数: 0

代码说明:

说明:  Pytorch-Deep-Neural-Networks-master

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

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • MFC-Interface-pragramming-examples
    MFC界面编程的一些比较经典的例子,共26个,包括如何实现位图按钮、如何使用进度条、如何使用旋转按钮等等,对从事系统编程的人帮助较大(MFC programming interface, some of the more classic example, a total of 26, including how to implement bitmap buttons, how to use the progress bar, how to use the rotate buttons, etc., for people to help in the larger system programming)
    2010-10-19 13:36:38下载
    积分:1
  • EMD
    使用python进行信号EMD分析,然后LSTM输入信号特征,然后分类(The signal EMD is analyzed by python, then LSTM input signal characteristics are classified.)
    2020-10-24 23:10:03下载
    积分:1
  • MFC
    包含一系列MAC学习ppt,对MFC做出了全面的讲解(Contains a range of MAC learning ppt, made a comprehensive presentation on MFC)
    2013-03-22 13:48:11下载
    积分:1
  • ntpserver
    Python 抓取 COM Port 未完成(Python Serach COM Port non Fininshed)
    2019-01-23 17:07:10下载
    积分:1
  • 5.1-LoginExample 2
    说明:  基于qt,实现简单的登录界面,利用文件操作,有简单的注册、登录、改密、安全锁定等功能。(Based on QT, a simple login interface is realized, and file operation is used. It has simple functions such as registration, login, password change, security lock, etc.)
    2020-07-04 23:19:02下载
    积分:1
  • pyqt5_python_Gui入门教
    python pytq5 界面编程,网上不好找的资料,qt5(Python pytq5 interface programming)
    2017-06-21 10:16:14下载
    积分:1
  • C-P-P-GUI-Qt3-source
    C++ GUI Qt3编程书中源码,可作参考用,书请到官网下载(C++ GUI Qt3 source programming book can be used as reference, the book please go to the official website to download)
    2012-01-12 19:02:54下载
    积分:1
  • 213937196ADDSKIN
    可以给MFC添加皮肤,内含很多,且有使用方法,非常好用。文件很齐全(You can add the skin, to the MFC containing a lot of, and use, very easy to use. The file is complete)
    2013-09-03 10:56:36下载
    积分:1
  • 41708
    酷狗TV关闭效果易语言源码,程序结合易语言扩展界面支持库和应用接口支持库,实现酷狗TV关闭效果。(Cool Dog TV off effect easy language source code , the program combined with easy language support library expansion interface and application interface support library that implements the cool dog TV off effect .)
    2016-10-08 07:55:19下载
    积分:1
  • visa
    一个简单的数据挖掘程序,有贝叶斯方法和bp算法,还有决策数的简单实现。(a simple data mining procedures, it bp Bayesian methods and algorithms, the number of decision-making there are simple to achieve.)
    2006-06-02 21:36:56下载
    积分:1
  • 696518资源总数
  • 104384会员总数
  • 26今日下载