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I have trid several different configurations based on this implemantation(https://github.com/yl-1993/Matrix-Capsules-EM-PyTorch).
I could not get the similar performance mentioned in the original p…
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```
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
in
1 attack = foolbox.attacks.FG…
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pylint E0401:unable to import 'keras.utils'
unable to import networks.capsulenet.capsule_net
when i uesed ''python attack.py --model densenet capsnet'',the above problems appeared,Who can help me t…
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Hello, thanks for the code and documents, they are easy to understand.
When I train the model on my own dataset (dataset includes 16 512*512 2D grayscale png images, and masks are black-white), it …
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Can you tell us please how can we apply your network to classify RGB 256*256 data.
The structure of my datasets is:
Train:
Class 1:
0001.jpg
0002.jpg
…
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### Describe the problem
ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[921600,160] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocato…
ghost updated
6 years ago
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In the 'train' function, why is data given as [x,y],[y,x]?
For example,
1. In 'train_generator' function
>> yield ([x_batch, y_batch], [y_batch, x_batch])
2. In 'fit_generator' function
>> valid…
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The program running speed is much more slower than this(https://github.com/naturomics/CapsNet-Tensorflow) on MNIST.
What is the possible cause of this？
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I just have a short comment on the implementation of the convolutional capsule layer (in `layers.py`):
shouldn't it just be based on the existing (ordinary) convolutional layer, there is no need for …
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Hi. I've found some difference between what you've implemented and the original model in the paper.
Apart from the reconstruction network being different (which I think is a cool experiment), I've no…