Train recurrent neural network with variable length input cell vectors.

Hi,

 I am working on recurrent neural network and my dataset consists of input cell and target cell. The input cell consists of vectors with variable length for example input{[1,1,0],[2,1,1,1,2,1],[2,1],...} and my target is T{[0,0,1],[0,0,0,0,0,1],[0,1],....} I tried to use the command [Xs,Xi,Ai,Ts] = preparets(net,input,T); but Matlab through the error (Error using preparets (line 78)
Inputs{1,3} and Inputs{1,1} have different numbers of columns)
Which command should I use to overcome this issue?
Thanks in advance for any advice.

Answer 1

[Greg Heath]

Neural networks require "I"nput column vectors with a fixed length (I). Therefore you will have to complete the columns with zeros.

 [ I N ] = size(input)
 [ O N ] = size(target)

Hope this helps.

Thank you for formally accepting my answer

Greg

Answer 2

[Essa Anas]

Thank you for your reply. Yes, after changing the input to be with equal length, I was able to train the RNN.