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69 | 69 | <details> |
70 | 70 | <summary>展开查看</summary> |
71 | 71 | <pre> |
72 | | - <code> |
73 | 72 | * Part 1: Introduction to PyTorch and using tensors |
74 | 73 | * Part 2: Building fully-connected neural networks with PyTorch |
75 | 74 | * Part 3: How to train a fully-connected network with backpropagation on MNIST |
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78 | 77 | * Part 6: How to save and load trained models |
79 | 78 | * Part 7: Load image data with torchvision, also data augmentation |
80 | 79 | * Part 8: Use transfer learning to train a state-of-the-art image classifier for dogs and cats |
81 | | - </code> |
82 | 80 | </pre> |
83 | 81 | </details> |
84 | 82 | * [PyTorch1.0-Zero-To-All](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/PyTorch-Zero-To-All-%5BPyTorch1.0%5D):Slides-newest from Google Drive |
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168 | 166 | ## 以下是一些独立的教程 |
169 | 167 |
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170 | 168 | ### 1) [PyTorch深度学习:60分钟入门与实战](https://github.com/bat67/Deep-Learning-with-PyTorch-A-60-Minute-Blitz-cn) |
| 169 | + |
| 170 | +<details> |
| 171 | +<summary>展开查看</summary> |
| 172 | +<pre> |
171 | 173 |
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172 | 174 | * 什么是PyTorch?(What is PyTorch?) |
173 | 175 |
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218 | 220 | * [8个GPU](https://github.com/bat67/Deep-Learning-with-PyTorch-A-60-Minute-Blitz-cn/blob/master/Optional_Data_Parallelism/数据并行处理.md#8个gpu) |
219 | 221 | * [总结](https://github.com/bat67/Deep-Learning-with-PyTorch-A-60-Minute-Blitz-cn/blob/master/Optional_Data_Parallelism/数据并行处理.md#总结) |
220 | 222 |
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| 223 | +</pre> |
| 224 | +</details> |
221 | 225 |
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222 | 226 | ### 2) [Learning PyTorch with Examples 用例子学习PyTorch](https://github.com/bat67/pytorch-examples-cn) |
223 | 227 |
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| 228 | +<details> |
| 229 | +<summary>展开查看</summary> |
| 230 | +<pre> |
| 231 | + |
224 | 232 | * 张量(Tensors) |
225 | 233 |
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226 | 234 | * [热身:使用NumPy](https://github.com/bat67/pytorch-examples-cn/tree/master/热身%EF%BC%9A使用NumPy) |
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239 | 247 | * [PyTorch:定制神经网络nn模块](https://github.com/bat67/pytorch-examples-cn/tree/master/PyTorch%EF%BC%9A定制神经网络nn模块) |
240 | 248 | * [PyTorch:控制流和参数共享](https://github.com/bat67/pytorch-examples-cn/tree/master/PyTorch%EF%BC%9A控制流和参数共享) |
241 | 249 |
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242 | | - |
| 250 | +</pre> |
| 251 | +</details> |
243 | 252 |
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244 | 253 | ## How to run? 推荐的运行方式 |
245 | 254 |
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