官方手册Learning PyTorch with Examples的翻译: https://blog.csdn.net/tsq292978891/article/details/79380000
pytorch反向求导更新网络参数: https://blog.csdn.net/tsq292978891/article/details/79333707
定义torch.autograd.Function的子类,自己定义某些操作,且定义反向求导函数: https://blog.csdn.net/tsq292978891/article/details/79364140
pytorch的权值初始化: https://blog.csdn.net/tsq292978891/article/details/79382306
torchvision的理解和学习: https://blog.csdn.net/tsq292978891/article/details/79403617
pytorch实现自由的数据读取-torch.utils.data的学习: https://blog.csdn.net/tsq292978891/article/details/79414512
pytorch指定gpu: https://blog.csdn.net/tsq292978891/article/details/79421490
pytorch模型保存: https://blog.csdn.net/tsq292978891/article/details/79434892
python进行参数解析及argparse.ArgumentParser()的使用:
https://blog.csdn.net/tsq292978891/article/details/79456193
torch.optim的灵活使用(包括重写SGD,加上L1正则):https://blog.csdn.net/tsq292978891/article/details/79724781
使用python.matplotlib绘制论文中的图:https://blog.csdn.net/tsq292978891/article/details/79862887
pytorch训练模型遇到RuntimeError: inconsistent tensor错误:
https://blog.csdn.net/tsq292978891/article/details/80152499
用pytorch实现迁移学习:https://blog.csdn.net/mao_xiao_feng/article/details/77878540?ABstrategy=codes_snippets_optimize_v4
pytorch tutorial之迁移学习:http://www.mamicode.com/info-detail-2237152.html
实战 | 手把手教你用PyTorch实现图像描述(附完整代码):https://blog.csdn.net/heyc861221/article/details/80269465