nmt_keras
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Neural Machine Translation using word level seq2seq model and embeddings
I am not sure how you are feeding the words to the encoder/decoder? For words I would be thinking we need to vectorized it and thats why in most of...
Hi I was trying to implement your code. However I am getting the following error while decoding sequence. ``` decoded_sentence = decode_sequence(input_seq) File "nntrainmodel.py", line 173, in decode_sequence [target_seq] +...
Tried to run this code without any modification and it fails in the decode stage. ```ValueError Traceback (most recent call last) in () 1 for seq_index in [14077,20122,40035,40064, 40056, 40068,...
Hi, I was trying to implement your code, but found an error in decode_sequence function: line: output_tokens, h, c = decoder_model.predict( [target_seq] + states_value) ValueError: Error when checking : expected...