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seq2seq model generates always the same output #39

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@LucaSCostanzo

Hi,
I am pretty new to the world of NLP. I trained the encoder decoder model as described in chap 10 of the book, but the network always produces the same output, independently from the sentence in input. I tried with several combinations for the hyperparameters (learning rate, epochs, number of LSTM hidden neurons, batch, ecc), but nothing worked. Any suggestion?

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