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In PyTorch, the underlying tensor operations that perform convolution and max pooling are provided by specific functions and modules. Let's look at each in detail:
### Convolution
The convolutio…
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Hi Mark,
i wonder where the dataset comes from.
Is it an open-sourced dataset published by an institution? If yes, would you tell its origin paper?
Or is it produced by yourself?
thank you~
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Alexnet implementation in tensorflow has incomplete architecture where 2 convolution neural layers are missing. This issue is in reference to the python notebook mentioned below.
https://github.com…
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### Motivation for the feature
The documentation for the `Modified3DUNet` architecture shows:
![image](https://user-images.githubusercontent.com/2482071/208773727-c3a9d974-497f-4294-b39d-75dca6e…
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[e3nn](https://www.connectedpapers.com/main/c7215ab4589ce3590910c597e86b1aba8e460d49/e3nn%3A-Euclidean-Neural-Networks/graph)
```mermaid
flowchart TD;
A[Freeman,1991\nThe design and use of stee…
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I am working on Course 2 - Part 2 - Lesson 2 - Notebook but I could not understand why we are preprocessing the feature by using these operation in the notebook.if someone can explain me why we are do…
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1.どんな論文? /What does this work do?
- https://arxiv.org/abs/2110.02178
- Propose MobileViT, a light-weight and general-purpose vision transformer for mobile devices, which combine the strengths of C…
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**Describe the bug**
When the summary on the Graph Convolutional Networks model is called and the model input is provided, the output summary doesn't contain any numbers in the column "Param #".
**T…
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I am proposing to be able to include a 3D deformable convolution within keras-cv
## Background
A recent paper has used deformable convolutions as a key building block in order to have a CNN be sta…
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I would like to turn an existing convolutional neural network (ResNet) into a sparse model. This model contains `torch.nn.Conv2d` but not `torch.nn.Linear`. Does `sten` support this operation?
I ch…