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In the SpatialAttention class, both maxpooling and avgpooling functions use F.avg_pool2d, which is inconsistent with the paper, please explain.Thanks
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Try adding dropout layers after Maxpooling layer with 0.2 dropout.
Try training a model on just the NoFindings and one other class.
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I'm trying to compile the Quartus project as per the Quartus readme. The compilation is failing, the error its generating says:
Error (12006): Node instance "maxpooling" instantiates undefined enti…
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Hi Jocicmarko, I have this question...
What is exactly doing the Conv2DTranspose layer in your code? I assume that is increasing the dimension by a factor of 2 ( I mean, performing the opposite ope…
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Hello, I want to make prediction from this:
```shape = std::vector{1, 32, 3, 1};
auto input = cppflow::tensor(points_teeth, shape);
for (auto s: model_points.get_operations()){
std::cout
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Hi, I have searched this package on pypi. Unfortunately, I can't find this 0.7.2 version.
I tried to install other version(0.9.0), but there are some errors when 'from dgl.nn import GraphConv, AvgPoo…
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See #899 .
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2*Conv + Maxpooling
val_loss: 0.1086 - val_acc: 0.9682
Test loss: 0.108623703655
Test accuracy: 0.9682
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In mnist_siamese.lua no non linearity is used after convolutional layers. I understand Maxpooling is non linear operation. Is that the reason no non linearity is used ? Any additional background will …
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first of all. thanks for your code and paper. I have a stupid question about the aggregation. why do you sum the maxpooling feature? It has any relationship with the integral Image ? Could you offer t…