2019-01-22 12:39:12

CONTRIBUTING.md

@@ -17,6 +17,52 @@
 
 ## 章节列表
 
++   [Getting Started](docs/1.0/tut_getting_started.md)
+    +   [Deep Learning with PyTorch: A 60 Minute Blitz](docs/1.0/deep_learning_60min_blitz.md)
+        + [What is PyTorch?](docs/1.0/blitz_tensor_tutorial.md)
+        + [Autograd: Automatic Differentiation](docs/1.0/blitz_autograd_tutorial.md)
+        + [Neural Networks](docs/1.0/blitz_neural_networks_tutorial.md)
+        + [Training a Classifier](docs/1.0/blitz_cifar10_tutorial.md)
+        + [Optional: Data Parallelism](docs/1.0/blitz_data_parallel_tutorial.md)
+    +   [Data Loading and Processing Tutorial](docs/1.0/data_loading_tutorial.md)
+    +   [Learning PyTorch with Examples](docs/1.0/pytorch_with_examples.md)
+    +   [Transfer Learning Tutorial](docs/1.0/transfer_learning_tutorial.md)
+    +   [Deploying a Seq2Seq Model with the Hybrid Frontend](docs/1.0/deploy_seq2seq_hybrid_frontend_tutorial.md)
+    +   [Saving and Loading Models](docs/1.0/saving_loading_models.md)
+    +   [What is <cite>torch.nn</cite> _really_?](docs/1.0/nn_tutorial.md)
++   [Image](docs/1.0/tut_image.md)
+    +   [Finetuning Torchvision Models](docs/1.0/finetuning_torchvision_models_tutorial.md)
+    +   [Spatial Transformer Networks Tutorial](docs/1.0/spatial_transformer_tutorial.md)
+    +   [Neural Transfer Using PyTorch](docs/1.0/neural_style_tutorial.md)
+    +   [Adversarial Example Generation](docs/1.0/fgsm_tutorial.md)
+    +   [Transfering a Model from PyTorch to Caffe2 and Mobile using ONNX](docs/1.0/super_resolution_with_caffe2.md)
++   [Text](docs/1.0/tut_text.md)
+    +   [Chatbot Tutorial](docs/1.0/chatbot_tutorial.md)
+    +   [Generating Names with a Character-Level RNN](docs/1.0/char_rnn_generation_tutorial.md)
+    +   [Classifying Names with a Character-Level RNN](docs/1.0/char_rnn_classification_tutorial.md)
+    +   [Deep Learning for NLP with Pytorch](docs/1.0/deep_learning_nlp_tutorial.md)
+        + [Introduction to PyTorch](docs/1.0/nlp_pytorch_tutorial.md)
+        + [Deep Learning with PyTorch](docs/1.0/nlp_deep_learning_tutorial.md)
+        + [Word Embeddings: Encoding Lexical Semantics](docs/1.0/nlp_word_embeddings_tutorial.md)
+        + [Sequence Models and Long-Short Term Memory Networks](docs/1.0/nlp_sequence_models_tutorial.md)
+        + [Advanced: Making Dynamic Decisions and the Bi-LSTM CRF](docs/1.0/nlp_advanced_tutorial.md)
+    +   [Translation with a Sequence to Sequence Network and Attention](docs/1.0/seq2seq_translation_tutorial.md)
++   [Generative](docs/1.0/tut_generative.md)
+    +   [DCGAN Tutorial](docs/1.0/dcgan_faces_tutorial.md)
++   [Reinforcement Learning](docs/1.0/tut_reinforcement_learning.md)
+    +   [Reinforcement Learning (DQN) Tutorial](docs/1.0/reinforcement_q_learning.md)
++   [Extending PyTorch](docs/1.0/tut_extending_pytorch.md)
+    +   [Creating Extensions Using numpy and scipy](docs/1.0/numpy_extensions_tutorial.md)
+    +   [Custom C++   and CUDA Extensions](docs/1.0/cpp_extension.md)
+    +   [Extending TorchScript with Custom C++   Operators](docs/1.0/torch_script_custom_ops.md)
++   [Production Usage](docs/1.0/tut_production_usage.md)
+    +   [Writing Distributed Applications with PyTorch](docs/1.0/dist_tuto.md)
+    +   [PyTorch 1.0 Distributed Trainer with Amazon AWS](docs/1.0/aws_distributed_training_tutorial.md)
+    +   [ONNX Live Tutorial](docs/1.0/ONNXLive.md)
+    +   [Loading a PyTorch Model in C++](docs/1.0/cpp_export.md)
++   [PyTorch in Other Languages](docs/1.0/tut_other_language.md)
+    +   [Using the PyTorch C++   Frontend](docs/1.0/cpp_frontend.md)
+
 ## 流程
 
 ### 一、认领