I'm trying to go seq2seq with a Transformer model. My input and output are the same shape (torch.Size([499, 128]) where 499 is the sequence length and 128 is the number of features. My input looks ...

I've tried to build a sequence to sequence model to predict a sensor signal over time based on its first few inputs (see figure below) The model works OK, but I want to 'spice things up' and try ...

I have a sequence to sequence learning model which works fine and able to predict some outputs. The problem is I have no idea how to convert the output back to text sequence. This is my code. fro...

I have coded a sequence to sequence learning LSTM in keras myself using the knowledge gained from the web tutorials and my own intuitions. I converted my sample text to sequences and then padded us...

this question is an extension of this one which focuses on LSTM as opposed to CRF. Unfortunately, I do not have any experience with CRFs, which is why I'm asking these questions. Problem: I would...

I'm working on a sequence forecasting problem and I don't have much experience in this area, so some of the below questions might be naive. FYI: I've created a follow-up question with a focus on C...

I'm having trouble using buckets in my Tensorflow model. When I run it with buckets = [(100, 100)], it works fine. When I run it with buckets = [(100, 100), (200, 200)] it doesn't work at all (stac...

The newest Tensorflow api about seq2seq model has included scheduled sampling: https://www.tensorflow.org/api_docs/python/tf/contrib/seq2seq/ScheduledEmbeddingTrainingHelper https://www.tensorflow...

I can't seem to find a concrete answer to the question of how to feed data into Keras. Most examples seem to work off image / text data and have clearly defined data points. I'm trying to feed mu...

I managed to build a sequence to sequence model in tensorflow using the tf.contrib.seq2seq classes in 1.1 version. For know I use the TrainingHelper for training my model. But does this helper fee...

I am trying to write a sequence to sequence RNN in keras. I coded this program using what I understood from the web. I first tokenized the text then converted the text into sequence and padded to f...

Is there a way to visualize the attention weights on some input like the figure in the link above(from Bahdanau et al., 2014), in TensorFlow's seq2seq models? I have found TensorFlow's github iss...