keras: what is the difference between model.predict and model.predict_proba
Just a remark : In fact you have both predict and predict_proba in most classifiers (in Scikit for example). As already mentioned, the first one predicts the class, the second one provides probabilities for each class, classified in ascending order.
I found model.predict and model.predict_proba both give an identical 2D matrix representing probabilities at each categories for each row. 
What is the difference of the two functions?