kurt-o-sys commented on issue #7349: time series delay output mxnet
   Thx for you answer... It is a one-to-one RNN indeed, unfolded, I'd like to 
have a 'many-to-one'. Every time frame, a 'summary' of the events are added to 
the AI system. Here's how the network (more or less) looks like. 
   If I would unfold it, in the scenario described above, I'd have 51 times the 
same structure next to each. I would like to have only 1 output (the last one) 
during training. Setting to 0 is not really an option, since this would 
intervene with the training: a value of 0 is not the same as something that has 
more a meaning as 'not available yet'. 
   (During usage of the trained network, the errors made during the first 
outcomes are less important. It's just that at the start of the 'game', one 
just knows that the game state is still unsure. Only after a number of 
iterations, this improves towards how the game actually evolves).
   I still wonder how to achieve it, or stated another way, how I can 'remove 
the first x elements of the sequence_length' in a one-to-one RNN.
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