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您将MAXPOOLing换成attention这里我看的有一些不太明白,不知道您可不可以帮我解释一下这部分的具体操作过程
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I think the most contribution in segnet is the idx-maxpooling. you can use the F.max_unpool2d(idx, x) to replace the nn.upsample().
The original upsample can't fit the loss of location information.
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您好,我最近用 Keras 训练了一个模型做二值目标分类,最后一层是 sigmoid 输出。
```
Layer (type) Output Shape Param #
=================================================================
conv2d_19 (Co…
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## Feature Description
For implementing MaxPooling, we need to have a way to do min/max operations in encrypted space.
Some potential solutionsa/algorithms:
- https://eprint.iacr.org/2019/417.pd…
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This issue is a part of my initiative to leave only useful/used code in this main fork of Grounhog.
The following classes from groundhog.layers.ff_layers:
- BinaryOp
- MinPooling
- MaxPooling
- Gauss…
rizar updated
9 years ago
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Hi, I've read the paper and I am confused with section 3.2 and section 3.3. Could you please answer the following two questions?
In section 3.2, you proposed Multi-resolution processing to substit…
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for sharing the test set performance in mnist and the training experience
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Hi,
I'm beginner on neural network, so your rtl is very useful for me..
I have a question..
I can see threshold value on CNN.v like belows..
How to get threshold value(22'b000000000010100100…
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environments: torch 1.10.2+cu113
execute python setup_test.py
got errors as shown below:
Traceback (most recent call last):
File "setup_test.py", line 64, in
output = model(input)
File…
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@liuhu-bigeye hello, i see Baoguang Shi's origin paper ,the origin paper is:
https://user-images.githubusercontent.com/28289146/31379266-5a57f220-ade0-11e7-8871-c1548853f1b7.png
your's :
![image…