Comments (1)
@alexander-rakhlin You have closed the issue without answering the question......
from cnn-for-sentence-classification-in-keras.
Related Issues (20)
- error when retraining word vector HOT 3
- Error in w2v.py line 52 HOT 4
- TypeError: __init__() takes at least 3 arguments (2 given) HOT 1
- expected input_4 to have shape (None, 185) but got array with shape (1665, 35) HOT 1
- how to run trained model on sample sentence HOT 1
- Trying to replicate the results obtained with denny brtiz's code HOT 8
- Using local directory dataset does not yield the marked results HOT 1
- Using Glove or GoogleNews? HOT 1
- Wrong model for Y.Kim's TextCNN HOT 1
- Using pre-trained google word embeddings HOT 3
- Negative dimension size caused by subtracting 3 from 1
- Only words, no sentences HOT 1
- 问题咨询 HOT 8
- How to train the model with multi-class dataset HOT 2
- accuracy HOT 3
- The model always predicts the same label HOT 1
- Two fully-connected layers after convolutions HOT 1
- as for the CNN-non-static model initialization issue
- Multiple Dropouts different from Original Paper and Denny Britz
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from cnn-for-sentence-classification-in-keras.