How to get feature importance from a keras deep learning model? In case of scikit-learn's models, we can get feature importance using the relevant attributes of the model. 
I've been working on a RNN, using LSTMs for text embedding. 
Is there any way to get feature importance of various features from the finalized model?
There is plenty of methods to calculate feature importance. I recommend trying two of them LIME and SHAP. 

I don't want to copy-paste material and tutorial provided by the author so please refer to these two repositories.