mirror of
https://github.com/fendouai/PyTorchDocs.git
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fix readme
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README.md
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README.md
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# PyTorchDocs
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# 目录
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本文档主要使用于PyTorch入门学者,主要参考PyTorch官方文档。
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## 第一章:PyTorch之简介与下载
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### 1.[PyTorch简介](https://github.com/fendouai/PyTorchDocs/blob/master/FirstSection/PyTorchIntro.md)
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### 2.[PyTorch环境搭建](https://github.com/fendouai/PyTorchDocs/blob/master/FirstSection/InstallIutorial.md)
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hello world
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## 第二章:PyTorch之60min入门
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### 1.[PyTorch 入门](https://github.com/fendouai/PyTorchDocs/blob/master/SecondSection/what_is_pytorch.md)
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### 2.[PyTorch 自动微分](https://github.com/fendouai/PyTorchDocs/blob/master/SecondSection/autograd_automatic_differentiation.md)
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### 3.[PyTorch 神经网络](https://github.com/fendouai/PyTorchDocs/blob/master/SecondSection/neural_networks.md)
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### 4.[PyTorch 图像分类器](https://github.com/fendouai/PyTorchDocs/blob/master/SecondSection/training_a_classifier.md)
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### 5.[PyTorch 数据并行处理](https://github.com/fendouai/PyTorchDocs/blob/master/SecondSection/optional_data_parallelism.md)
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# 先定 readme 内容的框架
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# 然后填充内容
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## 第三章:PyTorch之入门强化
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### 1.[数据加载和处理](https://github.com/fendouai/PyTorchDocs/blob/master/ThirdSection/DataLoding.md)
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### 2.[PyTorch小试牛刀](https://github.com/fendouai/PyTorchDocs/blob/master/ThirdSection/LearningPyTorch.md)
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### 3.[迁移学习](https://github.com/fendouai/PyTorchDocs/blob/master/ThirdSection/TransferLearning.md)
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### 4.[混合前端的seq2seq模型部署](https://github.com/fendouai/PyTorchDocs/blob/master/ThirdSection/DeployingSeq2SeqModelwithHybridFrontend.MD)
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### 5.[保存和加载模型](https://github.com/fendouai/PyTorchDocs/blob/master/ThirdSection/SaveModel.md)
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## 第四章:PyTorch之图像篇
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### 1.[微调基于torchvision 0.3的目标检测模型](https://github.com/fendouai/PyTorchDocs/blob/master/fourSection/ObjectDetectionFinetuning.md)
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### 2.[微调TorchVision模型](https://github.com/fendouai/PyTorchDocs/blob/master/fourSection/FinetuningTorchVisionModel.md)
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### 3.[空间变换器网络](https://github.com/fendouai/PyTorchDocs/blob/master/fourSection/SpatialTranNet.md)
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### 4.[使用PyTorch进行Neural-Transfer](https://github.com/fendouai/PyTorchDocs/blob/master/fourSection/NeuralTransfer.md)
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### 5.[生成对抗示例](https://github.com/fendouai/PyTorchDocs/blob/master/fourSection/AdversarialExampleGene.md)
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### 6.[使用ONNX将模型转移至Caffe2和移动端](https://github.com/fendouai/PyTorchDocs/blob/master/fourSection/ONNX.md)
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## 第五章:PyTorch之文本篇
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### 1.[聊天机器人教程](https://github.com/fendouai/PyTorchDocs/blob/master/FifthSection/Chatbot.md)
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### 2.[使用字符级RNN生成名字](https://github.com/fendouai/PyTorchDocs/blob/master/FifthSection/Char%20RNN%20Generation.MD)
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### 3.[使用字符级RNN进行名字分类](https://github.com/fendouai/PyTorchDocs/blob/master/FifthSection/Char%20RNN%20Classification.md)
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### 4.[在深度学习和NLP中使用Pytorch](https://github.com/fendouai/PyTorchDocs/blob/master/FifthSection/DeepLearning%20NLP.md)
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### 5.[使用Sequence2Sequence网络和注意力进行翻译](https://github.com/fendouai/PyTorchDocs/blob/master/FifthSection/Translation_S2S%20Network.md)
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## 第六章:PyTorch之生成对抗网络
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## 第七章:PyTorch之强化学习
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磐创AI 聊天机器人,智能客服:
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[http://www.panchuangai.com/](http://www.panchuangai.com/)
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磐创教程网站,TensorFlow,Pytorch,Keras:
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[http://panchuang.net/](http://panchuang.net/)
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魔图互联 知识图谱推荐系统:
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[http://motuhulian.com](http://motuhulian.com)
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