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notgettingfined t1_jc30vh5 wrote

Why can’t you stitch together the 18 images into a single input?

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grid_world OP t1_jc32gs7 wrote

I don’t want to mix up the individual information contained in 18 RGB images together in the hopes the the network learns the anticipated features out of them

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notgettingfined t1_jc33bc3 wrote

I don’t under how that prevents learning from the individual images. I think you would need to explain the problem better. You could also add all the images together into channels so so you would have a 36x90x90input and then a 3x90x90 output

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grid_world OP t1_jc6ox1c wrote

Maybe a conv3d helps better without having to reshape

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