PyTorch 0.2 中文文档
翻译进度
- Autograd mechanics (ycszen) (DL-ljw)
- CUDA semantics (ycszen)
- Extending PyTorch (KeithYin)
- Multiprocessing best practices (ycszen)
- Serialization semantics (ycszen)
- torch (koshinryuu) (飞彦)
- torch.Tensor (weigp) (飞彦)
- torch.Storage (kophy)
- torch.nn
- Parameters (KeithYin)
- Containers (KeithYin)
- Convolution Layers (yichuan9527)
- Non-linear Activations (swordspoet)
- Normalization layers (XavierLin)
- Recurrent layers (KeithYin) (Mosout)
- Linear layers ( ) (Mosout)
- Dropout layers ( ) (Mosout)
- Sparse layers (Mosout)
- Distance functions
- Loss functions (KeithYin) (DL-ljw)
- Vision layers (KeithYin)
- Multi-GPU layers (KeithYin)
- Utilities (KeithYin)
- torch.nn.functional
- Convolution functions (ycszen) (铁血丹心)
- Pooling functions (ycszen) (铁血丹心)
- Non-linear activations functions (ycszen)
- Normalization functions (ycszen)
- Linear functions (dyl745001196)
- Distance functions (dyl745001196)
- Loss functions (tfygg) (DL-ljw)
- Vision functions (KeithYin)
- torch.nn.init (kophy) (luc)
- torch.optim (ZijunDeng) (祁杰)
- torch.autograd (KeithYin) (祁杰)
- torch.multiprocessing (songbo.han)
- torch.legacy (ycszen)
- torch.cuda (ycszen)
- torch.utils.ffi (ycszen)
- torch.utils.data (ycszen)
- torch.utils.model_zoo (ycszen)
- torchvision (KeithYin)
- torchvision.datasets (KeithYin) (loop)
- torchvision.models (KeithYin)
- torchvision.transforms (KeithYin) (loop)
- torchvision.utils (KeithYin)