整体进度 v1.0（校对）

> 官方奖励（好消息 好消息）

凡事翻译过贡献者，都可以申请得到官方的纪念礼物：
如果有问题的人私聊： QQ 529815144

```
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As a start, let us know where we can ship you some PyTorch swag! 
We have stickers, t-shirts, hoodies, and backpacks – let us know what sizes you need.
```

官方认领礼物地址如下: https://github.com/apachecn/pytorch-doc-zh/issues/353

> 认领须知

最新版本 PyTorch v1.2 校验任务认领地址 - <https://github.com/apachecn/pytorch-doc-zh/issues/422>

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| 章节   | 校验者 | 进度 |
| --- | --- | --- |
| 教程部分 | - | -|
| [Deep Learning with PyTorch: A 60 Minute Blitz](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/deep_learning_60min_blitz.md) | @FontTian | 100% |
| [What is PyTorch?](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/blitz_tensor_tutorial.md) | @FontTian | 100% |
| [Autograd: Automatic Differentiation](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/blitz_autograd_tutorial.md) | @FontTian | 100% |
| [Neural Networks](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/blitz_neural_networks_tutorial.md) |@FontTian | 100% |
| [Training a Classifier](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/blitz_cifar10_tutorial.md) |@FontTian | 100% |
| [Optional: Data Parallelism](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/blitz_data_parallel_tutorial.md) | @FontTian | 100% |
| [Data Loading and Processing Tutorial](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/data_loading_tutorial.md) | @dyywinner | 100% |
| [Learning PyTorch with Examples](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/pytorch_with_examples.md) | @wulongjian | |
| [Transfer Learning Tutorial](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/transfer_learning_tutorial.md) | @infdahai  | 100% |
| [Deploying a Seq2Seq Model with the Hybrid Frontend](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/deploy_seq2seq_hybrid_frontend_tutorial.md) | @FontTian | 100% |
| [Saving and Loading Models](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/saving_loading_models.md) | @luxinfeng | |
| [What is torch.nn really?](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nn_tutorial.md) | @luxinfeng | |
| [Finetuning Torchvision Models](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/finetuning_torchvision_models_tutorial.md) | @luxinfeng | |
| [Spatial Transformer Networks Tutorial](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/spatial_transformer_tutorial.md) | | |
| [Neural Transfer Using PyTorch](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/neural_style_tutorial.md) | @AllenZYJ | |
| [Adversarial Example Generation](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/fgsm_tutorial.md) | | |
| [Transfering a Model from PyTorch to Caffe2 and Mobile using ONNX](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/super_resolution_with_caffe2.md) | | |
| [Chatbot Tutorial](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/chatbot_tutorial.md) | @jiangzhonglian | 100% |
| [Generating Names with a Character-Level RNN](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/char_rnn_generation_tutorial.md) | @hijkzzz | 100% |
| [Classifying Names with a Character-Level RNN](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/char_rnn_classification_tutorial.md) | @hijkzzz | |
| [Deep Learning for NLP with Pytorch](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/deep_learning_nlp_tutorial.md) | @FontTian | 100%  |
| [Introduction to PyTorch](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nlp_pytorch_tutorial.md) | @FontTian | 100%  |
| [Deep Learning with PyTorch](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nlp_deep_learning_tutorial.md) | @FontTian | 100% |
| [Word Embeddings: Encoding Lexical Semantics](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nlp_word_embeddings_tutorial.md) | | |
| [Sequence Models and Long-Short Term Memory Networks](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nlp_sequence_models_tutorial.md) | @FontTian | 100%  |
| [Advanced: Making Dynamic Decisions and the Bi-LSTM CRF](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nlp_advanced_tutorial.md) | @enningxie | 100% |
| [Translation with a Sequence to Sequence Network and Attention](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/seq2seq_translation_tutorial.md) | @FontTian  | 100% |
| [DCGAN Tutorial](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/dcgan_faces_tutorial.md) | @jiangzhonglian | 100% |
| [Reinforcement Learning (DQN) Tutorial](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/reinforcement_q_learning.md) |  | |
| [Creating Extensions Using numpy and scipy](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/numpy_extensions_tutorial.md) | @FontTian | 100% |
| [Custom C++   and CUDA Extensions](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/cpp_extension.md) | | |
| [Extending TorchScript with Custom C++   Operators](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_script_custom_ops.md) | | |
| [Writing Distributed Applications with PyTorch](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/dist_tuto.md) | | |
| [PyTorch 1.0 Distributed Trainer with Amazon AWS](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/aws_distributed_training_tutorial.md) | | |
| [ONNX Live Tutorial](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/ONNXLive.md) | | |
| [Loading a PyTorch Model in C++](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/cpp_export.md) | | |
| [Using the PyTorch C++   Frontend](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/cpp_frontend.md) | | |
| 文档部分   | - | -|
| [Autograd mechanics](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_autograd.md) | @AlexJakin | 100% |
| [Broadcasting semantics](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_broadcasting.md) | @AlexJakin | 100% |
| [CUDA semantics](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_cuda.md) | @AlexJakin | |
| [Extending PyTorch](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_extending.md) | | |
| [Frequently Asked Questions](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_faq.md) | | |
| [Multiprocessing best practices](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_multiprocessing.md) | | |
| [Reproducibility](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_randomness.md) | @bruce1408 | |
| [Serialization semantics](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_serialization.md) | | |
| [Windows FAQ](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/notes_windows.md) | | |
| [torch](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch.md) |  | | |
| [Tensors](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_tensors.md) | @dyywinner  | |
| [Random sampling](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_random_sampling.md) | | |
| [Serialization, Parallelism, Utilities](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_serialization_parallelism_utilities.md) | | |
| [Pointwise Ops](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_math_operations_pointwise_ops.md) | | |
| [Reduction Ops](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_math_operations_reduction_ops.md) | | |
| [Comparison Ops](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_math_operations_comparison_ops.md) | | |
| [Spectral Ops](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_math_operations_spectral_ops.md) | | |
| [Other Operations](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_math_operations_other_ops.md) | | |
| [BLAS and LAPACK Operations](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torch_math_operations_blas_lapack_ops.md) | | |
| [torch.Tensor](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/tensors.md) | | |
| [Tensor Attributes](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/tensor_attributes.md) | | |
| [Type Info](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/type_info.md) | | |
| [torch.sparse](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/sparse.md) | | |
| [torch.cuda](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/cuda.md) | | |
| [torch.Storage](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/storage.md) | | |
| [torch.nn](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nn.md) | | |
| [torch.nn.functional](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nn_functional.md) | @Originval | 100% |
| [torch.nn.init](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/nn_init.md) | @dyywinner | |
| [torch.optim](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/optim.md) | @zonasw | |
| [Automatic differentiation package - torch.autograd](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/autograd.md) | | |
| [Distributed communication package - torch.distributed](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/distributed.md) | | |
| [Probability distributions - torch.distributions](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/distributions.md) | | |
| [Torch Script](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/jit.md) | | |
| [Multiprocessing package - torch.multiprocessing](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/multiprocessing.md) | | |
| [torch.utils.bottleneck](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/bottleneck.md) | | |
| [torch.utils.checkpoint](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/checkpoint.md) | | |
| [torch.utils.cpp_extension](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/docs_cpp_extension.md) | | |
| [torch.utils.data](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/data.md) | | |
| [torch.utils.dlpack](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/dlpack.md) | | |
| [torch.hub](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/hub.md) | | |
| [torch.utils.model_zoo](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/model_zoo.md) | | |
| [torch.onnx](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/onnx.md) | | |
| [Distributed communication package (deprecated) - torch.distributed.deprecated](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/distributed_deprecated.md) | | |
| [torchvision Reference](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/docs_torchvision_ref.md) | | |
| [torchvision.datasets](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torchvision_datasets.md) | | |
| [torchvision.models](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torchvision_models.md) | | |
| [torchvision.transforms](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torchvision_transforms.md) | | |
| [torchvision.utils](https://github.com/apachecn/pytorch-doc-zh/blob/master/docs/1.0/torchvision_utils.md) | | |

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整体进度 v1.0（校对） #274

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章节	校验者	进度
教程部分	-	-
Deep Learning with PyTorch: A 60 Minute Blitz	@FontTian	100%
What is PyTorch?	@FontTian	100%
Autograd: Automatic Differentiation	@FontTian	100%
Neural Networks	@FontTian	100%
Training a Classifier	@FontTian	100%
Optional: Data Parallelism	@FontTian	100%
Data Loading and Processing Tutorial	@dyywinner	100%
Learning PyTorch with Examples	@wulongjian
Transfer Learning Tutorial	@infdahai	100%
Deploying a Seq2Seq Model with the Hybrid Frontend	@FontTian	100%
Saving and Loading Models	@luxinfeng
What is torch.nn really?	@luxinfeng
Finetuning Torchvision Models	@luxinfeng
Spatial Transformer Networks Tutorial
Neural Transfer Using PyTorch	@AllenZYJ
Adversarial Example Generation
Transfering a Model from PyTorch to Caffe2 and Mobile using ONNX
Chatbot Tutorial	@jiangzhonglian	100%
Generating Names with a Character-Level RNN	@hijkzzz	100%
Classifying Names with a Character-Level RNN	@hijkzzz
Deep Learning for NLP with Pytorch	@FontTian	100%
Introduction to PyTorch	@FontTian	100%
Deep Learning with PyTorch	@FontTian	100%
Word Embeddings: Encoding Lexical Semantics
Sequence Models and Long-Short Term Memory Networks	@FontTian	100%
Advanced: Making Dynamic Decisions and the Bi-LSTM CRF	@enningxie	100%
Translation with a Sequence to Sequence Network and Attention	@FontTian	100%
DCGAN Tutorial	@jiangzhonglian	100%
Reinforcement Learning (DQN) Tutorial
Creating Extensions Using numpy and scipy	@FontTian	100%
Custom C++ and CUDA Extensions
Extending TorchScript with Custom C++ Operators
Writing Distributed Applications with PyTorch
PyTorch 1.0 Distributed Trainer with Amazon AWS
ONNX Live Tutorial
Loading a PyTorch Model in C++
Using the PyTorch C++ Frontend
文档部分	-	-
Autograd mechanics	@AlexJakin	100%
Broadcasting semantics	@AlexJakin	100%
CUDA semantics	@AlexJakin
Extending PyTorch
Frequently Asked Questions
Multiprocessing best practices
Reproducibility	@bruce1408
Serialization semantics
Windows FAQ
torch
Tensors	@dyywinner
Random sampling
Serialization, Parallelism, Utilities
Pointwise Ops
Reduction Ops
Comparison Ops
Spectral Ops
Other Operations
BLAS and LAPACK Operations
torch.Tensor
Tensor Attributes
Type Info
torch.sparse
torch.cuda
torch.Storage
torch.nn
torch.nn.functional	@Originval	100%
torch.nn.init	@dyywinner
torch.optim	@zonasw
Automatic differentiation package - torch.autograd
Distributed communication package - torch.distributed
Probability distributions - torch.distributions
Torch Script
Multiprocessing package - torch.multiprocessing
torch.utils.bottleneck
torch.utils.checkpoint
torch.utils.cpp_extension
torch.utils.data
torch.utils.dlpack
torch.hub
torch.utils.model_zoo
torch.onnx
Distributed communication package (deprecated) - torch.distributed.deprecated
torchvision Reference
torchvision.datasets
torchvision.models
torchvision.transforms
torchvision.utils

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