3dprinter | 3d printer - | 3D Printing library
kandi X-RAY | 3dprinter Summary
kandi X-RAY | 3dprinter Summary
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QUESTION
I have the following problem, i have a dataset with 3dprinter data and want to predict a label representing an error using a tensorflow nn. However, that label runs from 0 to 5 - how could i achieve this? do i need five different outputs? because as i understand classification, it only assigns the label or not.
Cant find anything about this exactly, maybe because i dont know how to search for it - quite new in this whole subject.
The Data is either one-hot encoded or floats, and i am trying to use keras tuner to find hyperparameters for the network -i currently have it as this:
...ANSWER
Answered 2021-May-02 at 02:44If you have 6 classes with labels 0-5 then change the output layer from
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