PyTorch tutorials, examples and books
Table of Contents / :
PyTorch 1.x tutorials and examples
Note: some of these are old version; 1.x
- Automatic differentiation in PyTorch.pdf
- AbriefsummaryofthePTDC18PyTorch1.0Preview andPromise - Hacker Noon.pdf
- Deep Architectures.pdf
- Deep Architectures.pptx
- Deep Learning Toolkits II pytorch example.pdf
- Deep Learning with PyTorch - Vishnu Subramanian.pdf
- Deep-Learning-with-PyTorch.pdf
- Deep_Learning_with_PyTorch_Quick_Start_Guide.pdf
- First steps towards deep learning with pytorch.pdf
- Introduction to Tensorow, PyTorch and Caffe.pdf
- pytorch 0.4 - tutorial - .pdf
- PyTorch 0.4 - .pdf
- PyTorch 1.0 Bringing research and production together Presentation.pdf
- PyTorch Recipes - A Problem-Solution Approach - Pradeepta Mishra.pdf
- PyTorch under the hood A guide to understand PyTorch internals.pdf
- pytorch-internals.pdf
- PyTorch_tutorial_0.0.4_.pdf
- PyTorch_tutorial_0.0.5_.pdf
- pytorch - download from internet.pdf
- PyTorch - .epub
- PyTorch - .pdf
- Pytorch - .pdf
- PyTorch - .pdf
- PyTorch - .pdf
- PyTorch - .pdf
-
Udacity: Deep Learning with PyTorch
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PyTorch-Zero-To-AllSlides-newest from Google Drive
-
Deep Learning Course Slides and Handout - fleuret.org
-
(Tensors)
-
(Autograd)
-
nn
(nn
module)
How to run?
Some code in this repo is separated in blocks using #%%
.
A block is as same as a cell in Jupyter Notebook
. So editors/IDEs supporting this functionality is recommanded.
Such as: