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deep-learning's Introduction

深度学习在图像处理中的应用（学习总结）

前言

  • 本人为20级人工智能本科生，本项目是我对平时课上所学及课外自学的总结整理，总结的同时也希望能帮助到更多的小伙伴。
  • 本总结基于PyTorch完成
  • 课业还在继续，总结还在进行中

环境配置

软件环境：

  • MiniConda 3 (虚拟环境)
  • Python 3.10.13
  • VSCode (IDE)
  • CUDA 12.1.0
  • cuDNN 8.9.5
  • PyTorch 2.1.1+cu121
  • torchvision 0.16.1+cu121
  • torchsummary 1.5.1

硬件环境：

  • Intel(R) Core(TM) i7-10750H CPU
  • 内存：16G
  • NVIDIA GeForce GTX 1650 Ti
  • 显存：4G

总结目录

  • Image_Classification（图像分类）

    • PyTorch-创建图像分类工程的过程总结（完成）
    • LeNet （实现）
    • VGG-Net（实现）

  • Image_Segmentation （图像分割）

    • PyTorch-创建图像分割工程过程总结 （更新中）
    • U-Net （实现）
    • FCN_8s （更新中）

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