Comments (4)
Thanks for bringing this to my attention. I will make the fix this week. I like the idea of making it a placeholder.
from neural-sentiment.
Would this change affect the accuracy of the model. What I mean to ask is, whether this is a code design change or model improvement change ?
from neural-sentiment.
I think the error is still there, you need to set the dropout to 1 when forward_only (i.e during the testing step) anyway i did the change on my own and i can confirm an improvement on accuracy up to 1% on my best model with less overfitting (I have dropout_keep_prob = 0.7)
from neural-sentiment.
It's probably an oversight on my part, I thought I had made that change a while ago but apparently not. Thanks for bringing this to my attention.
from neural-sentiment.
Related Issues (14)
- logistics regression layer not properly implemented
- memory is blowing up
- padding all sequences to same length is inefficient HOT 1
- tf.pack() issue while building the model.. HOT 3
- Missing util/hyperparams? HOT 2
- ValueError: setting an array element with a sequence HOT 1
- Problem with tensorflow version 0.12 head HOT 4
- Tensorflow version HOT 2
- checkpoint names HOT 2
- There is no restoreHyperParameters function in the sample.py HOT 6
- Code does not run with the latest Tensorflow version. HOT 1
- Training is not working? HOT 1
- Model not found...
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from neural-sentiment.