Hello ,
I have been creating different recurrent models ( rnn , lstm , gru ) which gave me a good OA of 86% . I read in a deep learning forum that it’s a good idea to input your initial data into a standard feed forward network then the output directly into your recurrent model. I used a data structure like this for my recurrent model [batch_size , seq_dim , features] , now I have to re-configure this data to properly be my initial input for my FFN model as far as I can know the input should be [batch_size, features] . My question is How to re-configure my initial data to get through the FFN and get and output in the form of my RNN data structure.
I hope you understood my issue.
And thank you.