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Hi,
I trained VDNN models on AG news and few other datasets that I have and it worked as expected. However, when running this on binary classification datasets (including yelp polarity) model fails…
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Hi I have memoryError when running your code. I am running on ag_news dataset.
parameters: {'gpu': True, 'test_batch_size': 512, 'depth': 9, 'batch_size': 128, 'test_interval': 50, 'iterations': …
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Hi guys,
by chance i fixed the following issue. Let me report to you so you can save much time!
These days i tried to run your model on an Intel GPU based SoC. Therefore i need to convert the mo…
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Should there not be an activation function after the first *3, Temp Conv, 64* layer? The paper does not specify but I assumed every convolutional layer should be followed by batch normalization + relu…
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There're a lot of classification models for sentences like CharCNN/RNN, VDCNN, etc...
Implement/Test at least 3 classification models.
- [x] CharCNN
- [x] CharRNN
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I encounteded the following question when running your code(tf == 1.1.0):
> Traceback (most recent call last):
> File "C:/Users/syrup/Documents/VDCNN-master/train.py", line 47, in
> use_k_ma…
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I am trying to train a network based on the template ```vdcnn_9``` using the dataset you indicated in #340 but I can not specify my own split of train and test.
#### Configuration
- Version of Dee…
YaYaB updated
7 years ago
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The VDCNN paper's k-max pooling finds the top k values while preserving the order in which they appear in the original sequence. I don't think tensorflow's tf.nn.top_k does that.
This is what I get…
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I am trying to run a VDCNN on text, based on code here: https://github.com/Azure/Cortana-Intelligence-Gallery-Content/tree/master/Tutorials/Deep-Learning-for-Text-Classification-in-Azure/R
Everytime …
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Hi folks,
When I want to reimplement the paper [VDCNN for Text Classification](https://arxiv.org/abs/1606.01781), I need to do padding=1 with filter_kernel=3 to keep the same input's dimension betwee…