How can I format my inputs for an RNN using LSTMs in keras?

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I have a dummy data for people moving throughout rooms in a household. Below is an example of one week of that data. I'm hoping to use 6 weeks of that data to create a prediction model for an RNN with 2 LSTM cells and one dense layer, but I can't seem to prepare my data for the model properly. Does anyone have suggestions for how to prepare and train my model? I can tweak the parameters of the function after I have a basic model, but for some reason, all my attempts so far have lead to a testing accuracy of zero and training accuracies of very low numbers. Any suggestions for how to format the data for the input is greatly appreciated!

p1SchedW1 = ((1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1))

asked Nov 19 at 15:07

Noah Ratliff

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p1SchedW1 = ((1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1))

asked Nov 19 at 15:07

Noah Ratliff

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p1SchedW1 = ((1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1))

asked Nov 19 at 15:07

Noah Ratliff

p1SchedW1 = ((1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1),

         (1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 1, 1, 1))

tensorflow keras recurrent-neural-network

asked Nov 19 at 15:07

Noah Ratliff

asked Nov 19 at 15:07

Noah Ratliff

asked Nov 19 at 15:07

Noah Ratliff

asked Nov 19 at 15:07

Noah Ratliff

asked Nov 19 at 15:07

Noah Ratliff

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