How can I do a sequence to sequence model (RNN / LSTM) with Keras with fixed length data?

1

What I'm trying to do seems so simple, but I can't find any examples online. First, I'm not working in language, so all of the embedding stuff adds needless complexity to my task.

I have input, in the form of a (1, 1000) vector. They are time-series data, so I'll have 10 of them in sequence. Which, if I understand tensors correctly, gives me something of shape (10, 1, 1000), right?

I want to pass this through an RNN/LSTM and the output should be also of the same shape (10, 1, 1000). Namely, 10 vectors of 1000 dimensions each.

Can anyone guide me?

Thank you kindly.

Shamoon

Posted 2020-02-14T14:03:35.790

Reputation: 65

No answers