keras-preprocessing
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TimeseriesGenerator for many-to-many architectures
What do you think about introducing support for "many-to-many" architectures (see here). In https://github.com/keras-team/keras/issues/11293 there is an issue about that functionality.
In the left side we have current implementation, on the right side the desired behaviour.
I would also love to contribute!
Yes please, this feature would help a lot in training RNNs.
Good idea - for me this would also be a helpful utility, replacing a lot of preprocessing code.
I have been looking how to do this in a generator fashion, any examples of how to do this with the actual functions? I suppose I need to extend the Sequence class but I'm not pretty sure how to do it... Thanks in advance!