I would like to use ANNs for my problem, but the issue is my inputs and outputs node numbers are not fixed.
I did some google searches before asking my question and found that the RNN may help me with my problem. But, all examples which I've found somehow have a defined number of input and output nodes.
So, I'm looking for a strategy, how to make it real or at least some examples, preferable in Keras or PyTorch.
More details about my issue:
I have two inputs lists, where the length of the first one is fixed and equals two, e.g.:
in_1 = [2,2]
but the length of the second list is flexible, the length can be from three to inf, e.g.:
in_2 = [1,1,2,2]
in_2 = [1,1,1,2,2,2,3,3,3]
Also, input lists depend on each other. The first list shows the dimension of the output list. So if in_1 = [2,2], means the output must have a possibility to be reshaped to [2,2] form.
Currently, I'm thinking to combine two input list into one:
in = in_1 + in_2 = [2, 2, 1, 1, 2, 2]
Moreover, the output has the same length as the in_2 list, e.g.:
if input lists are:
in_1 = [2, 2] in_2 = [1, 1, 2, 2]
Output should be:
out = [1, 2, 1, 2]
Any ideas are welcome!