# PyTorch 中文文檔
如果你在使用pytorch和pytorch-cn的過程中有任何問題,歡迎在issue中討論,可能你的問題也是別人的問題。
## 翻譯進度
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### Notes
- \[x\] Autograd mechanics (*ycszen*)(DL-ljw)
- \[x\] CUDA semantics (*ycszen*)
- \[x\] Extending PyTorch (*KeithYin*)
- \[x\] Multiprocessing best practices (*ycszen*)
- \[x\] Serialization semantics (*ycszen*)
### Package Reference
- \[x\] torch(*koshinryuu*)(飛彥)
- \[x\] torch.Tensor(*weigp*)(飛彥)
- \[x\] torch.Storage(*kophy*)
- \[ \] **torch.nn**
- \[x\] Parameters(*KeithYin*)
- \[x\] Containers(*KeithYin*)
- \[x\] Convolution Layers(*yichuan9527*)
- \[x\] Pooling Layers(*yichuan9527*)
- \[x\] Non-linear Activations(*swordspoet*)
- \[x\] Normalization layers(*XavierLin*)
- \[x\] Recurrent layers(*KeithYin*)(Mosout)
- \[x\] Linear layers( )(Mosout)
- \[x\] Dropout layers( )(Mosout)
- \[x\] Sparse layers(Mosout)
- \[x\] Distance functions
- \[x\] Loss functions(*KeithYin*)(DL-ljw)
- \[x\] Vision layers(*KeithYin*)
- \[x\] Multi-GPU layers(*KeithYin*)
- \[x\] Utilities(*KeithYin*)
- \[x\] torch.nn.functional
- \[x\] Convolution functions(*ycszen*)(鐵血丹心)
- \[x\] Pooling functions(*ycszen*)(鐵血丹心)
- \[x\] Non-linear activations functions(*ycszen*)
- \[x\] Normalization functions(*ycszen*)
- \[x\] Linear functions(*dyl745001196*)
- \[x\] Dropout functions(*dyl745001196*)
- \[x\] Distance functions(*dyl745001196*)
- \[x\] Loss functions(*tfygg*)(DL-ljw)
- \[x\] Vision functions(*KeithYin*)
- \[x\] torch.nn.init(*kophy*)(luc)
- \[x\] torch.optim(*ZijunDeng*)(祁杰)
- \[x\] torch.autograd(*KeithYin*)(祁杰)
- \[x\] torch.multiprocessing(*songbo.han*)
- \[x\] torch.legacy(*ycszen*)
- \[x\] torch.cuda(*ycszen*)
- \[x\] torch.utils.ffi(*ycszen*)
- \[x\] torch.utils.data(*ycszen*)
- \[x\] torch.utils.model\_zoo(*ycszen*)
### torchvision Reference
- \[x\] torchvision (*KeithYin*)
- \[x\] torchvision.datasets (*KeithYin*)(loop)
- \[x\] torchvision.models (*KeithYin*)
- \[x\] torchvision.transforms (*KeithYin*)(loop)
- \[x\] torchvision.utils (*KeithYin*)
- PyTorch 中文文檔
- 主頁
- 自動求導機制
- CUDA語義
- 擴展PyTorch
- 多進程最佳實踐
- 序列化語義
- torch
- torch.Tensor
- torch.Storage
- torch.nn
- torch.nn.functional
- torch.autograd
- torch.optim
- torch.nn.init
- torch.multiprocessing
- torch.legacy
- torch.cuda
- torch.utils.ffi
- torch.utils.data
- torch.utils.model_zoo
- torchvision
- torchvision.datasets
- torchvision.models
- torchvision.transforms
- torchvision.utils
- 致謝