neural network - Tensorflowjs layer of both data and identifier

Question

I am trying to map some categorical inputs combined with customer unique id to a single result property. So my input will be a numeric (discrete) id and an array indicates for each property weather it contains the value or not. For example, consider I have 5 types of item where in a specific instance item one will output item 5, I’d like my data row to look like:

[3326,[1,0,0,0,0]]  ->  [0,0,0,0,1]

However I couldn’t find a way to model this with layers. If I using a different approach where a row is converted into a single array such as [3326, 1] -> 5 The results are not good.

Anyone?

question from:https://stackoverflow.com/questions/65871052/tensorflowjs-layer-of-both-data-and-identifier

Answer 1

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