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Hello.
Is there any chance to get some reference to papers (or any other documents) to the TextRNN model?
Thanks in advance.
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Thank you for sharing these wonderful codes!
Just one issue, it seems in a03 TextRNN, the result part (self.predictions) does not support multi-label classification. There is a lot to change if I w…
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https://github.com/brightmart/text_classification/blob/68e2fcf57a8dcec7e7d12f78953ed570451f0076/a03_TextRNN/p8_TextRNN_model.py#L74-L83
- the final loss is defined as the sum of cross_entropy_loss an…
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**我修改了predict.py,修改后是这样的:**
```
# coding: utf-8
from __future__ import print_function
import os
import tensorflow as tf
import tensorflow.contrib.keras as kr
from rnn_model import TRNNCon…
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https://github.com/brightmart/text_classification/blob/68e2fcf57a8dcec7e7d12f78953ed570451f0076/a03_TextRNN/p8_TextRNN_model.py#L67
In the implementation, the final outputs of Bi-RNN are calculate…
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@brightmart
Dear Mr.brightmart,
Hi,
## **While I run train **a03_TextRNN** with **google_news_wor22vec.bin** and a text file with my documents + labels, I've got these errors :**
![error](h…
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Hi,
I was in intro_Tutorial_2 in the Jupiter environment initalized by run.sh, but I failed on the step Creating Labeling Functions. Actually tensorflow is already installed and can be import in Term…
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Running into the following warning when using the TextRNN function:
> UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory.
> …
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when i run the p8_TextRNN_train.py, it does show the error:
No Such file or dictionary: 'zhihu-word2vect.bin-100'
where can i find the file?
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As discussed in #6, [these four lines](https://github.com/brightmart/text_classification/blob/master/a01_FastText/p5_fastTextB_predict.py#L4-L7) (or something similar) need to be added to the followin…