Effacer les filtres
Effacer les filtres

Why doesnt the neural network just give me the fitting function as an output?

13 vues (au cours des 30 derniers jours)
Ali Almakhmari
Ali Almakhmari le 24 Août 2023
Réponse apportée : Udit06 le 29 Août 2023
When I am training a neural network to fit a bunch of data. Why doesn't the Neural Network just give me the function (equation(s)) it developed by the fitting at the very end? Is there a way to do this?
ANN=fitnet([50],'trainbr');
ANN=train(ANN,Input,Output);
  2 commentaires
Walter Roberson
Walter Roberson le 24 Août 2023
The function-like representation of the trained network would involve four 50 x 50 matrices. Most people would not find that readable.
Ali Almakhmari
Ali Almakhmari le 24 Août 2023
Why is it four though? Thats very interesting, I still want to see it. How do you think I can get access to them?

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Udit06
Udit06 le 29 Août 2023
Hi Ali,
I understand that you want to obtain a function-like representation of the neural network that you have trained. To get a function-like representation of the trained neural network, you can try accessing the weight assigned to each neuron after training and the activation function of each layer of the neural network. You can use the “getwb” function (https://www.mathworks.com/help/deeplearning/ref/getwb.html) to access the weight of each neuron. To access the activation function of each neuron you can use the following.
activationFunction = ANN.layers{layer_num}.transferFcn;
You can refer to the following MathWorks documentation link to understand more about “transferFcn” property: https://www.mathworks.com/help/deeplearning/ug/neural-network-subobject-properties.html#bss4hk6-99
Thus, combining the information obtained, you can get a better understanding of how a function-like representation of a trained neural network looks like.
I hope this helps.

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