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I'm using CNTK to train a 3D convolutional neural networks, which takes 3D images as input and also produces 3D images as output and I've got two questions regarding the evaluation of such a model.
I…
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Could you please add support for 2D/3D sliding window CNNs in Torch nn?
The following papers use sliding window CNNs:
1) http://people.idsia.ch/~juergen/nips2012.pdf
2) https://papers.nips.cc/paper/5…
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We can recommend some papers for further discussion under this issue. Include a link to the paper + the conference name and other related information (like the abstract, some basic descriptions, links…
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> KeyError: ('The following error happened while compiling the node', forall_inplace,cpu,scan_fn}(Shape_i{1}.0, InplaceGpuDimShuffle{0,1,4,2,3}.0, GpuIncSubtensor{InplaceSet;:int64:}.0, GpuIncSubtenso…
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How to perform leaf segmentation on the cvppp dataset after I finished training?(part of the training log:
![image](https://cloud.githubusercontent.com/assets/13804492/19638688/9bf1f872-9a07-11e6-91d…
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I'm not a python developer, but I guess doing mean-subtraction would improve performance and would be a nice add on as well.
So I tried to implement such a feature myself, but I'm having a little bit …
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Hi, I see the conv3d_ucf101_train.prototxt, there are only five layers named conv1a,conv2a,conv3a,conv4a,conv5a,while in your paper 'Learning Spatiotemporal Features with 3D Convolutional Networks', t…
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Hello again,
For my prediction work i'm calling deepcl_predict on a manifest with 9 images.
Then again on 4 new images, then depending on the result of that < 4 images (repeated a few times).
This i…
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Trying to implement 1D fully convolutional network in Keras (within the UFCNN implementation, inspired by arXiv:1508.00317v1 [stat.ML] ).
One of ideas was to use approach described here - http://cs231…
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I would like to obtain the activation of every SOM unit for a given input, i.e., not just the MAU/BMU.
I see from the comment here https://github.com/peterwittek/somoclu/issues/39#issuecomment-23597…