How do I consider temporal and spatial features together in a simple convolutional network?
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Hello. Good morning. According to the Matlab code I wrote, I want to add the time channel as another channel to the features. But finally, the size of the X dimensions of the input of the convolutional network is equal to 884356x72x2 double and the size of the input egregor is equal to 1x884356 categorical. I get an error when running the network. Number of observations in X and Y disagree. How should I consider time? I want to consider spatial and temporal features together. Thank you.
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