Hello there! Here’s my problem:
I’m trying to use RNN for classification problem in which I have 25 classes. The dataset is conform of 1500 samples that are vectors of 800 columns, so each input has shape (1, 800).
For each class I have a number of samples and because each element of the vector represents RSS each of the samples for each class is correlated.
What I want to do is to feed the RNN with two vectors each one with the respect label/target, so the hidden state can be shared between the first and the second so I take advantage of RNN’s sequential information.
How ever I don’t know how to express that, Do I have to create the “sequences” in the dataset? Or it is something about feeding the model?
Thanks!!