Pytorch v1.0 整体进度（校对+官方纪念品）

[wizardforcel]

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

邮件部分内容：
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: #353

认领须知

最新版本 PyTorch v1.2 校验任务认领地址 - #422

提交的时候不要改动文件名称，即使它跟章节标题不一样也不要改，因为文件名和原文的链接是对应的！！！

留言格式：昵称 + QQ + 章节

需要取消认领的也在此留言。

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

[jiangzhonglian]

最新版本 PyTorch v1.2 校验任务认领地址 - #422

[AllenZYJ]

Neural Transfer Using PyTorch
+校验+2533524298

[alexdyysp]

Tensors
+卿谦+校验+2737502837+文档部分

[alexdyysp]

torch.nn.init
+卿谦+校验+2737502837+文档部分

[wulongjian]

仙男 + 1726711669 + Learning PyTorch with Examples

[AlexJakin]

AlexJakin + 1272296763 + 校验 + CUDA semantics

[jiangzhonglian]

1.2 版本: #422