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Hello! Thank you for your implementation. However, I have a little question regarding the use of convolution.
```py
x_norm = self.layer_norm(x)
x_conv = F.silu(self.causal_conv(x_no…
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Improve convolution and do some testing
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Hello,
How can I add Deformable Convolutional layers instead of CNN layers in Faster R-CNN?
I think it doesn't exist yet.
Is this possible? How can I do it?
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In order to most accurately carry out clustering and reproduce the position of the hit a NN model should be made. This should then be used to compare the resolutions of the simulated and generated sam…
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Just a note in case its useful to anyone else.
When trying to calculate the size for a `ConvTranspose2d`, sometimes the estimate is incorrect. Here is an example:
```
After conv2d
Conv kernel…
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we can use cnn for simple task to uderstand and the layers of CNN and we can apply that model over any data.
approach-Deep Learning (CNN)
i want applly CNN in a simple datasest with different layers…
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### Request Description
class ov::op::v1::Convolution。Convolution, can you use this API like torch.nn.Conv2d in Pytorch? I refer to the build model in the official example. This method requires compi…
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### ML-Crate Repository (Proposing new issue)
🔴 **[Project Addition]: Image Classification using Convolutional Neural Networks (CNN)**
🔴 **Description:** Create a CNN-based model for image class…
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**Describe the bug**
When passing an empty `SparseTensor` object through a `MinkowskiConvolution`, MinkowskiEngine throws a segfault.
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Why you choose the Convolution 1d layer with input feature channel(16,1024) and output(1,1024)?
What is your relevant formula?.
I look forward to hearing from you soon. Thank you so much