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deep-learning's Introduction

深度学习模板

  • Python 3.9.18

  • torch 2.1.1+cu121

  • torchsummary 1.5.1

      graph LR
        深度学习-->  图像数据
        深度学习-->  时序数据
       	图像数据-->  LeNet
       	图像数据-->  AlexNet
       	图像数据-->  VGG
       	图像数据-->  GoogLeNet
       	图像数据-->  ResNet
       	时序数据-->  RNN
       	时序数据--> LSTM
       	时序数据--> CNN
    
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图像学习

torchModel为torch.nn.Module的子类,可继承该类实现自己的模型

信号学习 --by Dragon

Sequence-Learing为循环神经网络

构建自己的数据集

两种方法

gpu-test

测试构建DataLoader的最适合num_workers

visualization

可视化方法

注意

关于路径

代码报错的第一可能是因为相对路径错误,请查看是否在指定的正确工作区或者自行修改路径参数

显存上溢

请修改batch_size

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