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Is there some special type of deep neural networks or their architecture that would work better with only binary input data particulary for classification purpose (also binary)? I mean anything that could help with this task, like activation functions, optimizers or maybe some pre-model data transformations?

EDIT: The inupt data would count from 5 000 to 20 000 features having values of 0 or 1. Values of 1s would be very rare. For example for a row of 10 000 features I guess there would be maybe 10-30 of 1s.

Data are generally flatten 2D representations of time series where 1 is appearance of a certain manually added 'feature'. To explain further: I conduct slicing window loop on the time series data that creates 50x50 2D plot-like frames, after that I run algorithm that marks with 1s appearances of certain configurations or characteristic points of that plot in separate channels. As a result I get 5 channels with 50x50 arrays where 1s are located where a certain characteristic point appeared on such graph and then it is all flattened to the row of 12 500 columns.

I am not asking to help me solve one particular problem with one particular dataset (like stock prices, industrial measurements etc.), but rather I am trying to develop new methodology for TS analysis in general that I will test on many datasets.

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  • $\begingroup$ If you gave some details about how large the dimensionality of the binary input vectors will be, that will probably determine the answer. $\endgroup$ – Mike NZ yesterday
  • $\begingroup$ @MikeNZ I added data description in the question $\endgroup$ – Makintosz yesterday
  • $\begingroup$ With that many zeros, I would suggest applying feature selection before giving this data to a model. The results may no be so good if you make the neural network figure out which are the redundant features and then classify the data all on its own. $\endgroup$ – Marcus yesterday
  • $\begingroup$ What kind of data is that? It would be nice to add a paragraph of written English explaining what is that data? What are the features (pixel images? stock market?) $\endgroup$ – Basile Starynkevitch yesterday
  • $\begingroup$ @BasileStarynkevitch added more about the data in the post. $\endgroup$ – Makintosz yesterday

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