Tensor flow test for Seq2seq model

do kindly reach out over chat, we can talk

[Updated bid] hi, I have a keras seq2seq model for chatbot which I trained on a conversational dataset the model which I have is with beam search and attention I think I can help you with what you need if you give me more information. I can also write the model in tensorflow if required. I also have gpu on google cloud which I use for your projects and can does do all the analysis that you require very fast.

For this project , i am planning ensemble of RNN,DPCNN and GBM models in order to achieve the appropriate diversity. The most interesting part of our solution was the neural networks on which we did: train on pre-trained embeddings. (FastText, Glove twitter, BPEmb, Word2Vec, LexVec,seq2seq) BPEmb pre-trained embeddings. Train and test time augmentations as well as the embeddings gave as the boost to the model. I have also to mention that for this competition we used Amazon AWS and trained on 5fold CV. Ensemble: Finally we ended up with about 30 different models of which we took the average.