Multiple Dropouts different from Original Paper and Denny Britz

[gaganchane]

Thank you for sharing your code for the Keras implementation. I had a question about dropouts that are added. In the original paper, dropout is only added once after the convolution layer with a dropout of rate of 0.5, this is also true in Denny Britz's implementation. In your implementation dropout of 0.5 is added after embedding layer and drop out of 0.8 is added after the convolution layer.

Just want to confirm if this is a deviation from the above two sources, and what was the reasoning for this?

Thanks!