Pytorch 深度学习实战

本项目是对《Pytorch 深度学习实战》源码复现。书中示例源码已公开在 DLWPT-code仓库中。为了更好的学习和编写示例，对示例代码中part1中部分变量单独显示，并增加了一些torch API的练习。在part2中为了适配当前版本的环境，修改部分包的引用。

PS：项目练习在part2中

[37]  mhd_list = glob.glob('dataset/part2/luna/subset/*.mhd')

[86]  mhd_path = glob.glob('dataset/part2/luna/subset/{}.mhd'.format(series_uid))[0]

运行

下载LUNA16数据集，国内可以从百度网盘下载。

百度云地址:
    链接：https://pan.baidu.com/s/1q6piaUc867e1CcZgKUzfNg?pwd=9vtu 
    提取码：9vtu

(1)创建虚拟环境,并激活今日虚拟环境

conda env -n deep_learning python=3.9
conda activate deep_learning

(2)快速导入环境包

pip install -r requirements.txt

Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
data_out		data_out
dataset		dataset
part2		part2
README.md		README.md
chapter 10 Data Processing.ipynb		chapter 10 Data Processing.ipynb
chapter 2 Pre-training.ipynb		chapter 2 Pre-training.ipynb
chapter 3 Tensor.ipynb		chapter 3 Tensor.ipynb
chapter 4 Load real data.ipynb		chapter 4 Load real data.ipynb
chapter 5 Mechanisms of learning.ipynb		chapter 5 Mechanisms of learning.ipynb
chapter 6 Neural network fitting data.ipynb		chapter 6 Neural network fitting data.ipynb
chapter 7 Distinguish between a bird and an airplane.ipynb		chapter 7 Distinguish between a bird and an airplane.ipynb
chapter 8 Using Convolution.ipynb		chapter 8 Using Convolution.ipynb
p2_run_everything.ipynb		p2_run_everything.ipynb
p2ch12_explore_data.ipynb		p2ch12_explore_data.ipynb
requirements.txt		requirements.txt