Comments (1)
I've tried to replace the loss function, from Cross Entropy to Weighted Cross Entropy, to give the smaller groups more weights. It works out fairly but the accuracy got only around 70%...
from multi-class-text-classification-cnn-rnn.
Related Issues (20)
- Training fails with small data set HOT 1
- train.py fails with best_model.ckpt not found HOT 5
- when trying to run train.py
- Extract Associated Probability
- Issue With Predictions
- os.rename can not found model-2600 HOT 1
- why do you use description as input feature only?
- Predicting fail using tensorflow 1.3.0 HOT 1
- How to change parametrs to much bigger text on russian? HOT 2
- ata loss: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator?
- webserver for quick demo
- Tensorboard embedding
- Shape must be of rank 4 but is of rank 3 HOT 4
- Unsuccessful TensorSliceReader constructor HOT 6
- create a SavedModel
- the data only can get from the zip HOT 1
- use softmax to get probability distribution for each class
- KeyError: 'RECOVERED VEHICLE',what's the small_sample.csv?
- 请问small_sample.cvs是测试集合,prediction_all是预测的结果,对吗??
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from multi-class-text-classification-cnn-rnn.