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In [this section](https://deeplearning4j.org/compgraph#usecases) of the documentation of computation graphs, the [link to a convolutional networks for sentence classification](http://www.people.fas.ha…
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In general, the training set has more data than the test set. Without considering the val set, it's almost seven to three.
But why citation data are the opposite? for example, Cora has 140 train samp…
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First of all, thanks a lot for making your code public. I am trying to do the experiment on NTU RGB D 120 dataset and I have split the data into training and testing in CS as given in the NTU-RGB D 12…
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## Error logs
The log of `make test`.
```
# Run Blueoil test of classification
CUDA_VISIBLE_DEVICES=0 bash ./blueoil_test.sh --task classification
Creating directory for test: ./tmp/tests/201909…
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@tugstugi thanks for this repo and the sharing.
I am trying to train japanese but it wasn't in good quality, for japanese it would need to tokenize first ありがとうございます as there are not white space bet…
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_The following peer review was solicited as part of the Distill review process._
_**The reviewer chose to keep anonymity.** Distill offers reviewers a choice between anonymous review and offering r…
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> IMPORTANT : This is a duplicate of #2
# Lidar point cloud classification
## Context
Airborne [lidar systems](https://en.wikipedia.org/wiki/Lidar) generate data in the form of [point clouds]…
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Hi,
Thanks for sharing the good idea and code.
I do not understand how the network structure is instance specific or learned from data.
**What I see is different data/image has different acti…
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Hi!
I have some queries regarding the way you've split the data into train/valid/test. In paper, you write that " In all cases, we use 20 labeled nodes per class as the training set, 30 nodes per c…
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After training I want to extract the hidden layer representation of the given data instead of the final probabilities. How can I do it with Keras?