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implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Jupyter Notebook 100.00%

text-classification convolutional-neural-networks

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Very-Deep-Convolutional-Networks-for-Natural-Language-Processing-in-tensorflow

Implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781) in tensorflow,just 9 layers.

Parts of code are based on https://github.com/amygdala/tensorflow-workshop/tree/master/workshop_sections/cnn_text_classification ,which is based on the https://github.com/dennybritz/cnn-text-classification-tf, and other parts are based on https://github.com/scharmchi/char-level-cnn-tf

The data of the experiment is dbpedia, the paper reports that the accuracy is 0.9865.

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very-deep-convolutional-networks-for-natural-language-processing-in-tensorflow's Issues

Incorrect batch_norm usage

The trainable argument in the batch_norm op should be replaced with is_trainable.
I think the starting convolution layer is incorrect. In my opinion, this stride should be [1, 1, ,1, 1] instead of [1, 1, embedding_size, 1], and padding=Valid instead of padding=Same should be used.

Dataset

Hi there,

Thank you for showing your code.
Can you please tell us where we can get the dataset from?

Cheers

sorry, this code just have the test part ??

I can not find the code

I am sorry, I can not find the code. And only a file about accuracy found.

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