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I am using simple RNN model in keras to predict the categorize of simple text data .But I am unable to converted my predicted sequence in to categories

test_sequences = tok.texts_to_sequences(X)
test_sequences_matrix = sequence.pad_sequences(test_sequences,maxlen=max_len)
classes = model.predict(test_sequences_matrix)

I want to convert classes in to X format (Sequence to text). are there any function from which i can revert back.Thanks in advance I have seen this but unable to solve to my problem

Umer
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    Could you add the model code as well? If it is a classification task, then `classes` would contain the probabilities of each class so you can find out the predicted classes using `.argmax` function. And then find the name of that class if you would like. – today Sep 22 '18 at 22:34

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