karthika-devi

issue during training the data

4

I got the below error after 1220 steps of training get finished during running the udc_train.py file Traceback (most recent call last): File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 1021, in _do_call return fn(*args)...

Hi, I have trained my own corpus in your model,I train the data for "what is your age" and prediction for "how old are you" get the response for first...

Will you please send me the dataset for tweet for reference And I have an doubt in tflearn whether word2vec is acheivable(eg: what is your age get trained whether response...

Hi, As per your flow, I substitute my own corpus,But additionally I add embedding matrix in between your code and then train the data.Purpose of adding embedding matrix is to...

ok thank you for your explaination . I gave input as hole movie conversation dataset and I set 1000 epoches whether it is ok or else I want to increase...

Deep explaination regards

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Hi sir, As I am new to seq2seq model.I understand how you construct data and why you are using rnn with lstm.But I want to know whether seq2seq can be...

I am having the same agent at both draft and published version. Everything works as expected . But for some phrases, I am getting result from draft version. But I...

issue during response

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question:what are you doing word ids: [7906,1941,8103] input words :['what','are','you','doing'] answer: word ids:[7556,7556,548,548,548,345,345,345,345,987,987,987] output words:['kick','kick','within','within','within','test','test,'test','test','process','process','process'] why I get like this,where i went wrong

During training the seq2seq chatbot ,why it take long time to train even if I give small amount of data .what is the purpose of test.enc and test.dec

what is exactly happening during testing after the user input get tokenized (i.e)what we get at encoder_input,decoder_input) and how the data get fetch based on given input.I am in need...