深度学习与PyTorch-代码和PPT.zip

深度学习与PyTorch-代码和PPT，基于pytorch的深度学习资料

import  torch
from    torch import nn





class AE（nn.Module）:



    def __init__（self）:
        super（AE self）.__init__（）


        # [b 784] => [b 20]
        self.encoder = nn.Sequential（
            nn.Linear（784 256）
            nn.ReLU（）
            nn.Linear（256 64）
            nn.ReLU（）
            nn.Linear（64 20）
            nn.ReLU（）
        ）
        # [b 20] => [b 784]
        self.decoder = nn.Sequential（
            nn.Linear（20 64）
            nn.ReLU（）
            nn.Linear（64 256）
            nn.ReLU（）
            nn.Linear（256 784）
            nn.Sigmoid（）
        ）


    def forward（self x）:
        “““

        :param x: [b 1 28 28]
        :return:
        “““
        batchsz = x.size（0）
        # flatten
        x = x.view（batchsz 784）
        # encoder
        x = self.encoder（x）
        # decoder
        x = self.decoder（x）
        # reshape
        x = x.view（batchsz 1 28 28）

        return x None

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----
     目录           0  2019-03-27 00:58  DeepLearningTutorials-master\
     文件           5  2019-03-27 00:58  DeepLearningTutorials-master\.gitignore
     目录           0  2019-03-27 00:58  DeepLearningTutorials-master\AutoEncoder实战\
     文件          18  2019-03-27 00:58  DeepLearningTutorials-master\AutoEncoder实战\.gitignore
     文件     3654768  2019-03-27 00:58  DeepLearningTutorials-master\AutoEncoder实战\AutoEncoders.pdf
     文件         969  2019-03-27 00:58  DeepLearningTutorials-master\AutoEncoder实战\ae.py
     文件        1710  2019-03-27 00:58  DeepLearningTutorials-master\AutoEncoder实战\main.py
     文件        1468  2019-03-27 00:58  DeepLearningTutorials-master\AutoEncoder实战\vae.py
     目录           0  2019-03-27 00:58  DeepLearningTutorials-master\Cifar10与ResNet18实战\
     文件          18  2019-03-27 00:58  DeepLearningTutorials-master\Cifar10与ResNet18实战\.gitignore
     目录           0  2019-03-27 00:58  DeepLearningTutorials-master\Cifar10与ResNet18实战\.idea\
     文件         453  2019-03-27 00:58  DeepLearningTutorials-master\Cifar10与ResNet18实战\.idea\Cifar10与ResNet18实战.iml
     文件         300  2019-03-27 00:58  DeepLearningTutorials-master\Cifar10与ResNet18实战\.idea\modules.xml
     文件         183  2019-03-27 00:58  DeepLearningTutorials-master\Cifar10与ResNet18实战\.idea\vcs.xml
     文件        9390  2019-03-27 00:58  DeepLearningTutorials-master\Cifar10与ResNet18实战\.idea\workspace.xml
     文件        1706  2019-03-27 00:58  DeepLearningTutorials-master\Cifar10与ResNet18实战\lenet5.py
     文件        2370  2019-03-27 00:58  DeepLearningTutorials-master\Cifar10与ResNet18实战\main.py
     文件        2459  2019-03-27 00:58  DeepLearningTutorials-master\Cifar10与ResNet18实战\resnet.py
     文件           0  2019-03-27 00:58  DeepLearningTutorials-master\Cifar10与ResNet18实战\考虑到大家的GPU较小，我们这里的ResNet18是阉割版
     目录           0  2019-03-27 00:58  DeepLearningTutorials-master\Lesson01-初见PyTorch\
     文件         353  2019-03-27 00:58  DeepLearningTutorials-master\Lesson01-初见PyTorch\autograd_demo.py
     文件         317  2019-03-27 00:58  DeepLearningTutorials-master\Lesson01-初见PyTorch\demo.lua
     文件      935770  2019-03-27 00:58  DeepLearningTutorials-master\Lesson01-初见PyTorch\lesson1.pdf
     文件         546  2019-03-27 00:58  DeepLearningTutorials-master\Lesson01-初见PyTorch\lesson1.py
     目录           0  2019-03-27 00:58  DeepLearningTutorials-master\Lesson02-开发环境准备\
     文件      971247  2019-03-27 00:58  DeepLearningTutorials-master\Lesson02-开发环境准备\lesson2.pdf
     文件          83  2019-03-27 00:58  DeepLearningTutorials-master\Lesson02-开发环境准备\main.py
     文件         809  2019-03-27 00:58  DeepLearningTutorials-master\README.md
     目录           0  2019-03-27 00:58  DeepLearningTutorials-master\lesson03-简单回归案例\
     文件      766408  2019-03-27 00:58  DeepLearningTutorials-master\lesson03-简单回归案例\lesson3.pdf
     目录           0  2019-03-27 00:58  DeepLearningTutorials-master\lesson04-简单回归案例-PyTorch求解\
............此处省略132个文件信息