提交 f6f4b4b6 编写于 作者: W wizardforcel

2019-01-21 18:20:00

上级 c156f82d
+ [PyTorch 1.0 中文文档 & 教程](docs/1.0/)
+ [PyTorch 0.4 中文文档](docs/0.4/)
+ [PyTorch 0.3 中文文档 & 教程](docs/0.3/)
+ [PyTorch 0.2 中文文档](docs/0.2/)
+ [PyTorch 1.0 中文文档 & 教程](http://pytorch.apachecn.org/docs/1.0/)
+ [PyTorch 0.4 中文文档](http://pytorch.apachecn.org/docs/0.4/)
+ [PyTorch 0.3 中文文档 & 教程](http://pytorch.apachecn.org/docs/0.3/)
+ [PyTorch 0.2 中文文档](http://pytorch.apachecn.org/docs/0.2/)
+ [PyTorch 英文文档](http://pytorch.org/docs/)
+ [PyTorch 英文教程](http://pytorch.org/tutorials/)
\ No newline at end of file
+ [PyTorch 0.2 中文文档](docs/0.2/README.md)
+ [PyTorch 0.2 中文文档](README.md)
+ 说明
+ [自动求导机制](docs/0.2/notes/autograd.md)
+ [CUDA语义](docs/0.2/notes/cuda.md)
+ [扩展PyTorch](docs/0.2/notes/extending.md)
+ [多进程最佳实践](docs/0.2/notes/multiprocessing.md)
+ [序列化语义](docs/0.2/notes/serialization.md)
+ [自动求导机制](notes/autograd.md)
+ [CUDA语义](notes/cuda.md)
+ [扩展PyTorch](notes/extending.md)
+ [多进程最佳实践](notes/multiprocessing.md)
+ [序列化语义](notes/serialization.md)
+ PACKAGE参考
+ [torch](docs/0.2/package_references/torch.md)
+ [torch.Tensor](docs/0.2/package_references/Tensor.md)
+ [torch.Storage](docs/0.2/package_references/Storage.md)
+ [torch.nn](docs/0.2/package_references/torch-nn.md)
+ [torch.nn.functional](docs/0.2/package_references/functional.md)
+ [torch.autograd](docs/0.2/package_references/torch-autograd.md)
+ [torch.optim](docs/0.2/package_references/torch-optim.md)
+ [torch.nn.init](docs/0.2/package_references/nn_init.md)
+ [torch.multiprocessing](docs/0.2/package_references/torch-multiprocessing.md)
+ [torch.legacy](docs/0.2/package_references/legacy.md)
+ [torch.cuda](docs/0.2/package_references/torch-cuda.md)
+ [torch.utils.ffi](docs/0.2/package_references/ffi.md)
+ [torch.utils.data](docs/0.2/package_references/data.md)
+ [torch.utils.model_zoo](docs/0.2/package_references/model_zoo.md)
+ [torch](package_references/torch.md)
+ [torch.Tensor](package_references/Tensor.md)
+ [torch.Storage](package_references/Storage.md)
+ [torch.nn](package_references/torch-nn.md)
+ [torch.nn.functional](package_references/functional.md)
+ [torch.autograd](package_references/torch-autograd.md)
+ [torch.optim](package_references/torch-optim.md)
+ [torch.nn.init](package_references/nn_init.md)
+ [torch.multiprocessing](package_references/torch-multiprocessing.md)
+ [torch.legacy](package_references/legacy.md)
+ [torch.cuda](package_references/torch-cuda.md)
+ [torch.utils.ffi](package_references/ffi.md)
+ [torch.utils.data](package_references/data.md)
+ [torch.utils.model_zoo](package_references/model_zoo.md)
+ TORCHVISION参考
+ [torchvision](docs/0.2/torchvision/torchvision.md)
+ [torchvision.datasets](docs/0.2/torchvision/torchvision-datasets.md)
+ [torchvision.models](docs/0.2/torchvision/torchvision-models.md)
+ [torchvision.transforms](docs/0.2/torchvision/torchvision-transform.md)
+ [torchvision.utils](docs/0.2/torchvision/torchvision-utils.md)
+ [致谢](docs/0.2/acknowledgement.md)
+ [torchvision](torchvision/torchvision.md)
+ [torchvision.datasets](torchvision/torchvision-datasets.md)
+ [torchvision.models](torchvision/torchvision-models.md)
+ [torchvision.transforms](torchvision/torchvision-transform.md)
+ [torchvision.utils](torchvision/torchvision-utils.md)
+ [致谢](acknowledgement.md)
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+ [PyTorch 0.3 中文文档 & 教程](docs/0.3/README.md)
+ [PyTorch 0.3 中文文档 & 教程](README.md)
+ 中文教程
+ [初学者教程](docs/0.3/beginner_tutorials.md)
+ [PyTorch 深度学习: 60 分钟极速入门教程](docs/0.3/deep_learning_60min_blitz.md)
+ [PyTorch 是什么?](docs/0.3/blitz_tensor_tutorial.md)
+ [自动求导: 自动微分](docs/0.3/blitz_autograd_tutorial.md)
+ [神经网络](docs/0.3/blitz_neural_networks_tutorial.md)
+ [训练一个分类器](docs/0.3/blitz_cifar10_tutorial.md)
+ [可选: 数据并行](docs/0.3/blitz_data_parallel_tutorial.md)
+ [PyTorch for former Torch users](docs/0.3/former_torchies_tutorial.md)
+ [Tensors](docs/0.3/former_torchies_tensor_tutorial.md)
+ [Autograd (自动求导)](docs/0.3/former_torchies_autograd_tutorial.md)
+ [nn package](docs/0.3/former_torchies_nn_tutorial.md)
+ [Multi-GPU examples](docs/0.3/former_torchies_parallelism_tutorial.md)
+ [跟着例子学习 PyTorch](docs/0.3/pytorch_with_examples.md)
+ [Warm-up: numpy](docs/0.3/pytorch_with_examples_warm-up-numpy.md)
+ [PyTorch: Tensors](docs/0.3/pytorch_with_examples_pytorch-tensors.md)
+ [PyTorch: 变量和autograd](docs/0.3/pytorch_with_examples_pytorch-variables-and-autograd.md)
+ [PyTorch: 定义新的autograd函数](docs/0.3/pytorch_with_examples_pytorch-defining-new-autograd-functions.md)
+ [TensorFlow: 静态图](docs/0.3/pytorch_with_examples_tensorflow-static-graphs.md)
+ [PyTorch: nn包](docs/0.3/pytorch_with_examples_pytorch-nn.md)
+ [PyTorch: optim包](docs/0.3/pytorch_with_examples_pytorch-optim.md)
+ [PyTorch: 定制化nn模块](docs/0.3/pytorch_with_examples_pytorch-custom-nn-modules.md)
+ [PyTorch: 动态控制流程 + 权重共享](docs/0.3/pytorch_with_examples_pytorch-control-flow-weight-sharing.md)
+ [迁移学习教程](docs/0.3/transfer_learning_tutorial.md)
+ [数据加载和处理教程](docs/0.3/data_loading_tutorial.md)
+ [针对NLP的Pytorch深度学习](docs/0.3/deep_learning_nlp_tutorial.md)
+ [PyTorch介绍](docs/0.3/nlp_pytorch_tutorial.md)
+ [PyTorch深度学习](docs/0.3/nlp_deep_learning_tutorial.md)
+ [词汇嵌入:编码词汇语义](docs/0.3/nlp_word_embeddings_tutorial.md)
+ [序列模型和 LSTM 网络(长短记忆网络)](docs/0.3/nlp_sequence_models_tutorial.md)
+ [高级教程: 作出动态决策和 Bi-LSTM CRF](docs/0.3/nlp_advanced_tutorial.md)
+ [中级教程](docs/0.3/intermediate_tutorials.md)
+ [用字符级RNN分类名称](docs/0.3/char_rnn_classification_tutorial.md)
+ [基与字符级RNN(Char-RNN)的人名生成](docs/0.3/char_rnn_generation_tutorial.md)
+ [用基于注意力机制的seq2seq神经网络进行翻译](docs/0.3/seq2seq_translation_tutorial.md)
+ [强化学习(DQN)教程](docs/0.3/reinforcement_q_learning.md)
+ [Writing Distributed Applications with PyTorch](docs/0.3/dist_tuto.md)
+ [空间转换网络 (Spatial Transformer Networks) 教程](docs/0.3/spatial_transformer_tutorial.md)
+ [高级教程](docs/0.3/advanced_tutorials.md)
+ [用 PyTorch 做 神经转换 (Neural Transfer)](docs/0.3/neural_style_tutorial.md)
+ [使用 numpy 和 scipy 创建扩展](docs/0.3/numpy_extensions_tutorial.md)
+ [使用 ONNX 将模型从 PyTorch 迁移到 Caffe2 和 Mobile](docs/0.3/super_resolution_with_caffe2.md)
+ [为 pytorch 自定义 C 扩展](docs/0.3/c_extension.md)
+ [初学者教程](beginner_tutorials.md)
+ [PyTorch 深度学习: 60 分钟极速入门教程](deep_learning_60min_blitz.md)
+ [PyTorch 是什么?](blitz_tensor_tutorial.md)
+ [自动求导: 自动微分](blitz_autograd_tutorial.md)
+ [神经网络](blitz_neural_networks_tutorial.md)
+ [训练一个分类器](blitz_cifar10_tutorial.md)
+ [可选: 数据并行](blitz_data_parallel_tutorial.md)
+ [PyTorch for former Torch users](former_torchies_tutorial.md)
+ [Tensors](former_torchies_tensor_tutorial.md)
+ [Autograd (自动求导)](former_torchies_autograd_tutorial.md)
+ [nn package](former_torchies_nn_tutorial.md)
+ [Multi-GPU examples](former_torchies_parallelism_tutorial.md)
+ [跟着例子学习 PyTorch](pytorch_with_examples.md)
+ [Warm-up: numpy](pytorch_with_examples_warm-up-numpy.md)
+ [PyTorch: Tensors](pytorch_with_examples_pytorch-tensors.md)
+ [PyTorch: 变量和autograd](pytorch_with_examples_pytorch-variables-and-autograd.md)
+ [PyTorch: 定义新的autograd函数](pytorch_with_examples_pytorch-defining-new-autograd-functions.md)
+ [TensorFlow: 静态图](pytorch_with_examples_tensorflow-static-graphs.md)
+ [PyTorch: nn包](pytorch_with_examples_pytorch-nn.md)
+ [PyTorch: optim包](pytorch_with_examples_pytorch-optim.md)
+ [PyTorch: 定制化nn模块](pytorch_with_examples_pytorch-custom-nn-modules.md)
+ [PyTorch: 动态控制流程 + 权重共享](pytorch_with_examples_pytorch-control-flow-weight-sharing.md)
+ [迁移学习教程](transfer_learning_tutorial.md)
+ [数据加载和处理教程](data_loading_tutorial.md)
+ [针对NLP的Pytorch深度学习](deep_learning_nlp_tutorial.md)
+ [PyTorch介绍](nlp_pytorch_tutorial.md)
+ [PyTorch深度学习](nlp_deep_learning_tutorial.md)
+ [词汇嵌入:编码词汇语义](nlp_word_embeddings_tutorial.md)
+ [序列模型和 LSTM 网络(长短记忆网络)](nlp_sequence_models_tutorial.md)
+ [高级教程: 作出动态决策和 Bi-LSTM CRF](nlp_advanced_tutorial.md)
+ [中级教程](intermediate_tutorials.md)
+ [用字符级RNN分类名称](char_rnn_classification_tutorial.md)
+ [基与字符级RNN(Char-RNN)的人名生成](char_rnn_generation_tutorial.md)
+ [用基于注意力机制的seq2seq神经网络进行翻译](seq2seq_translation_tutorial.md)
+ [强化学习(DQN)教程](reinforcement_q_learning.md)
+ [Writing Distributed Applications with PyTorch](dist_tuto.md)
+ [空间转换网络 (Spatial Transformer Networks) 教程](spatial_transformer_tutorial.md)
+ [高级教程](advanced_tutorials.md)
+ [用 PyTorch 做 神经转换 (Neural Transfer)](neural_style_tutorial.md)
+ [使用 numpy 和 scipy 创建扩展](numpy_extensions_tutorial.md)
+ [使用 ONNX 将模型从 PyTorch 迁移到 Caffe2 和 Mobile](super_resolution_with_caffe2.md)
+ [为 pytorch 自定义 C 扩展](c_extension.md)
+ 中文文档
+ [介绍](docs/0.3/notes.md)
+ [自动求导机制](docs/0.3/notes_autograd.md)
+ [广播语义](docs/0.3/notes_broadcasting.md)
+ [CUDA 语义](docs/0.3/notes_cuda.md)
+ [扩展 PyTorch](docs/0.3/notes_extending.md)
+ [多进程的最佳实践](docs/0.3/notes_multiprocessing.md)
+ [序列化语义](docs/0.3/notes_serialization.md)
+ [Package 参考](docs/0.3/package_reference.md)
+ [torch](docs/0.3/torch.md)
+ [torch.Tensor](docs/0.3/tensors.md)
+ [torch.sparse](docs/0.3/sparse.md)
+ [torch.Storage](docs/0.3/storage.md)
+ [torch.nn](docs/0.3/nn.md)
+ [torch.optim](docs/0.3/optim.md)
+ [Automatic differentiation package - torch.autograd](docs/0.3/autograd.md)
+ [Probability distributions - torch.distributions](docs/0.3/distributions.md)
+ [Multiprocessing package - torch.multiprocessing](docs/0.3/multiprocessing.md)
+ [Distributed communication package - torch.distributed](docs/0.3/distributed.md)
+ [Legacy package - torch.legacy](docs/0.3/legacy.md)
+ [torch.cuda](docs/0.3/cuda.md)
+ [torch.utils.ffi](docs/0.3/ffi.md)
+ [torch.utils.data](docs/0.3/data.md)
+ [torch.utils.model_zoo](docs/0.3/model_zoo.md)
+ [torch.onnx](docs/0.3/onnx.md)
+ [torchvision 参考](docs/0.3/torchvision_reference.md)
+ [torchvision](docs/0.3/torchvision.md)
+ [torchvision.datasets](docs/0.3/datasets.md)
+ [torchvision.models](docs/0.3/models.md)
+ [torchvision.transforms](docs/0.3/transforms.md)
+ [torchvision.utils](docs/0.3/utils.md)
\ No newline at end of file
+ [介绍](notes.md)
+ [自动求导机制](notes_autograd.md)
+ [广播语义](notes_broadcasting.md)
+ [CUDA 语义](notes_cuda.md)
+ [扩展 PyTorch](notes_extending.md)
+ [多进程的最佳实践](notes_multiprocessing.md)
+ [序列化语义](notes_serialization.md)
+ [Package 参考](package_reference.md)
+ [torch](torch.md)
+ [torch.Tensor](tensors.md)
+ [torch.sparse](sparse.md)
+ [torch.Storage](storage.md)
+ [torch.nn](nn.md)
+ [torch.optim](optim.md)
+ [Automatic differentiation package - torch.autograd](autograd.md)
+ [Probability distributions - torch.distributions](distributions.md)
+ [Multiprocessing package - torch.multiprocessing](multiprocessing.md)
+ [Distributed communication package - torch.distributed](distributed.md)
+ [Legacy package - torch.legacy](legacy.md)
+ [torch.cuda](cuda.md)
+ [torch.utils.ffi](ffi.md)
+ [torch.utils.data](data.md)
+ [torch.utils.model_zoo](model_zoo.md)
+ [torch.onnx](onnx.md)
+ [torchvision 参考](torchvision_reference.md)
+ [torchvision](torchvision.md)
+ [torchvision.datasets](datasets.md)
+ [torchvision.models](models.md)
+ [torchvision.transforms](transforms.md)
+ [torchvision.utils](utils.md)
\ No newline at end of file
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+ [PyTorch 0.4 中文文档](docs/0.4/README.md)
+ [笔记](docs/0.4/0.md)
+ [自动求导机制](docs/0.4/1.md)
+ [广播语义](docs/0.4/2.md)
+ [CUDA语义](docs/0.4/3.md)
+ [扩展PyTorch](docs/0.4/4.md)
+ [常见问题](docs/0.4/5.md)
+ [多进程最佳实践](docs/0.4/6.md)
+ [序列化语义](docs/0.4/7.md)
+ [Windows 常见问题](docs/0.4/8.md)
+ [包参考](docs/0.4/9.md)
+ [Torch](docs/0.4/10.md)
+ [torch.Tensor](docs/0.4/11.md)
+ [Tensor Attributes](docs/0.4/12.md)
+ [torch.sparse](docs/0.4/13.md)
+ [torch.cuda](docs/0.4/14.md)
+ [torch.Storage](docs/0.4/15.md)
+ [torch.nn](docs/0.4/16.md)
+ [torch.nn.functional](docs/0.4/17.md)
+ [自动差异化包 - torch.autograd](docs/0.4/18.md)
+ [torch.optim](docs/0.4/19.md)
+ [torch.nn.init](docs/0.4/20.md)
+ [译者署名](docs/0.4/21.md)
+ [Multiprocessing包 - torch.multiprocessing](docs/0.4/22.md)
+ [分布式通讯包 - torch.distributed](docs/0.4/23.md)
+ [译者署名](docs/0.4/24.md)
+ [torch.utils.checkpoint](docs/0.4/25.md)
+ [torch.utils.cpp_extension](docs/0.4/26.md)
+ [torch.utils.data](docs/0.4/27.md)
+ [torch.utils.ffi](docs/0.4/28.md)
+ [torch.utils.model_zoo](docs/0.4/29.md)
+ [示例:从PyTorch到Caffe2的端到端的AlexNet](docs/0.4/30.md)
+ [遗留包 - torch.legacy](docs/0.4/31.md)
+ [torchvision 参考](docs/0.4/32.md)
+ [torchvision](docs/0.4/33.md)
+ [torchvision.datasets](docs/0.4/34.md)
+ [orchvision.models](docs/0.4/35.md)
+ [pytorch torchvision transform](docs/0.4/36.md)
+ [torchvision.utils](docs/0.4/37.md)
+ [PyTorch 0.4 中文文档](README.md)
+ [笔记](0.md)
+ [自动求导机制](1.md)
+ [广播语义](2.md)
+ [CUDA语义](3.md)
+ [扩展PyTorch](4.md)
+ [常见问题](5.md)
+ [多进程最佳实践](6.md)
+ [序列化语义](7.md)
+ [Windows 常见问题](8.md)
+ [包参考](9.md)
+ [Torch](10.md)
+ [torch.Tensor](11.md)
+ [Tensor Attributes](12.md)
+ [torch.sparse](13.md)
+ [torch.cuda](14.md)
+ [torch.Storage](15.md)
+ [torch.nn](16.md)
+ [torch.nn.functional](17.md)
+ [自动差异化包 - torch.autograd](18.md)
+ [torch.optim](19.md)
+ [torch.nn.init](20.md)
+ [译者署名](21.md)
+ [Multiprocessing包 - torch.multiprocessing](22.md)
+ [分布式通讯包 - torch.distributed](23.md)
+ [译者署名](24.md)
+ [torch.utils.checkpoint](25.md)
+ [torch.utils.cpp_extension](26.md)
+ [torch.utils.data](27.md)
+ [torch.utils.ffi](28.md)
+ [torch.utils.model_zoo](29.md)
+ [示例:从PyTorch到Caffe2的端到端的AlexNet](30.md)
+ [遗留包 - torch.legacy](31.md)
+ [torchvision 参考](32.md)
+ [torchvision](33.md)
+ [torchvision.datasets](34.md)
+ [orchvision.models](35.md)
+ [pytorch torchvision transform](36.md)
+ [torchvision.utils](37.md)
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