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SUMMARY.md
浏览文件 @
f6f4b4b6
+
[
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
docs/0.2/SUMMARY.md
浏览文件 @
f6f4b4b6
+
[
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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docs/0.3/SUMMARY.md
浏览文件 @
f6f4b4b6
+
[
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
](
d
ocs/0.3/d
eep_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
](
d
ocs/0.3/d
ata_loading_tutorial.md
)
+
[
针对NLP的Pytorch深度学习
](
d
ocs/0.3/d
eep_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
](
d
ocs/0.3/d
ist_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
)
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[
PyTorch: optim包
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pytorch_with_examples_pytorch-optim.md
)
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[
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
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+
[
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
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transforms.md
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[
torchvision.utils
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utils.md
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笔记
](
docs/0.4/
0.md
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[
自动求导机制
](
docs/0.4/
1.md
)
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[
广播语义
](
docs/0.4/
2.md
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[
CUDA语义
](
docs/0.4/
3.md
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[
扩展PyTorch
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docs/0.4/
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常见问题
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torch.nn.functional
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torchvision
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pytorch torchvision transform
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torchvision.utils
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docs/0.4/
37.md
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[
PyTorch 0.4 中文文档
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笔记
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