Simple_PyTorch2
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최종 버전 다운로드 (.zip)- 1.使用PyTorch的工具函数-checkpoint.ipynb
- 2.Dropout层-checkpoint.ipynb
- 3.保存模型参数-checkpoint.ipynb
- 4.手动初始化参数-checkpoint.ipynb
- 5.调整学习率-checkpoint.ipynb
- 6.Norm层-checkpoint.ipynb
- 1.使用PyTorch的工具函数.ipynb
- 2.Dropout层.ipynb
- 3.保存模型参数.ipynb
- 4.手动初始化参数.ipynb
- 5.调整学习率.ipynb
- 6.Norm层.ipynb
- temp.model
- 1.创建tensor-checkpoint.ipynb
- 2.索引tensor-checkpoint.ipynb
- 3.tensor维度变换-checkpoint.ipynb
- 4.broadcast-checkpoint.ipynb
- 5.tensor的拼接和拆分-checkpoint.ipynb
- 6.数学运算-checkpoint.ipynb
- 7.属性统计-checkpoint.ipynb
- 1.创建tensor.ipynb
- 2.索引tensor.ipynb
- 3.tensor维度变换.ipynb
- 4.broadcast.ipynb
- 5.tensor的拼接和拆分.ipynb
- 6.数学运算.ipynb
- 7.属性统计.ipynb
- .gitignore
- 1.环境配置.txt
- 3.全连接神经网络_分类.ipynb
- 4.全连接神经网络_回归.ipynb
- 5.cnn分类图像cifar10.ipynb
- 6.rnn分类声音superb.ipynb
- 7.rnn分类文字sst2.ipynb
- 8.基于torchvision的CV迁移学习.ipynb
- 9.基于Huggingface的NLP迁移学习.ipynb
- README.md
- 数据和模型.zip.001
- 数据和模型.zip.002
- 数据和模型.zip.003
- 数据和模型.zip.004
- 数据和模型.zip.005
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- 数据和模型.zip.018
// repository documentation
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