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.