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How to apply for input and get an array from the output of a neural network in python, tensorflow?
Good afternoon.
I have 2 arrays, the first one is the wrong array, so to speak, and the second one is the correct version of it. How do I feed the first array of the neural network and specify which array from the first should be the result?
I am attaching a visual image.
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Looking about what arrays speech. If the size of the array is known and fixed, then read any tensorflow tutorial here. Either use a perceptron, or (if it doesn't work), try a deeper network.
If an array is just a sequence of elements of variable length, then you need encoders or seq2seq networks.
And again, what exactly is the difficulty? The code?
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