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olutobi01 t1_iwmpyq3 wrote

You can represent it as 5 timestamps of 2 features with 8 channels i.e. 5, 2, 8. This can be used as input into a 2D CNN. Alternatively, you can represent as 5,2 X 8; 5 timestamps of 16 features. This is the sort of input expected by a 1D CNN.

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snairgit OP t1_iwnzurp wrote

This is a good thought, i haven't thought this way. Will try this out and see if it's possible to represent it this way. Thanks.

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