Dropout used incorrectly!

[prolearner]

during the test the dropout_keep_prob parameter is not set to 1 as it should, the dropout_keep_prob parameter shouldn't be constant but a placeholder or at least a tf.Variable

[domerin0]

Thanks for bringing this to my attention. I will make the fix this week. I like the idea of making it a placeholder.

[trideeprath]

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 ?

[prolearner]

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)

[domerin0]

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.