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46 | 46 |
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47 | 47 | > 该目录更新可能有延迟,全部资料请看[该文件夹](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/books-and-slides)内文件 |
48 | 48 | |
49 | | -* A brief summary of the PTDC ’18 PyTorch 1.0 Preview and Promise - Hacker Noon.pdf |
50 | 49 | * Automatic differentiation in PyTorch.pdf |
| 50 | +* A brief summary of the PTDC ’18 PyTorch 1.0 Preview and Promise - Hacker Noon.pdf |
51 | 51 | * Deep Architectures.pdf |
52 | 52 | * Deep Architectures.pptx |
53 | 53 | * Deep Learning Toolkits II pytorch example.pdf |
54 | 54 | * Deep Learning with PyTorch - Vishnu Subramanian.pdf |
| 55 | +* Deep-Learning-with-PyTorch.pdf |
55 | 56 | * Deep_Learning_with_PyTorch_Quick_Start_Guide.pdf |
| 57 | +* First steps towards deep learning with pytorch.pdf |
| 58 | +* Introduction to Tensorflow, PyTorch and Caffe.pdf |
56 | 59 | * pytorch 0.4 - tutorial - 有目录版.pdf |
57 | 60 | * PyTorch 0.4 中文文档 - 翻译.pdf |
58 | 61 | * PyTorch 1.0 Bringing research and production together Presentation.pdf |
59 | 62 | * PyTorch Recipes - A Problem-Solution Approach - Pradeepta Mishra.pdf |
60 | 63 | * PyTorch under the hood A guide to understand PyTorch internals.pdf |
| 64 | +* pytorch-internals.pdf |
61 | 65 | * PyTorch_tutorial_0.0.4_余霆嵩.pdf |
62 | 66 | * PyTorch_tutorial_0.0.5_余霆嵩.pdf |
63 | | -* pytorch-internals.pdf |
64 | 67 | * pytorch卷积、反卷积 - download from internet.pdf |
65 | 68 | * PyTorch深度学习实战 - 侯宜军.epub |
66 | 69 | * PyTorch深度学习实战 - 侯宜军.pdf |
67 | | -* 深度学习框架PyTorch:入门与实践 - 陈云.pdf |
68 | | -* 深度学习入门之PyTorch - 廖星宇(有目录).pdf |
69 | 70 | * 深度学习之Pytorch - 廖星宇.pdf |
70 | 71 | * 深度学习之PyTorch实战计算机视觉 - 唐进民.pdf |
| 72 | +* 深度学习入门之PyTorch - 廖星宇(有目录).pdf |
| 73 | +* 深度学习框架PyTorch:入门与实践 - 陈云.pdf |
71 | 74 | * [Udacity: Deep Learning with PyTorch](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Udacity-Deep-Learning-with-PyTorch) |
72 | 75 | <details> |
73 | 76 | <summary>展开查看</summary> |
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