Hidden layer and hidden neuron

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I have 106587 data (11843rows *9 columns). I need to predict one parameter (output) using 8 other parameters (inputs).
1) How many hidden layers should I use (2 or 3) ?
2) How many hidden neurons should I assign for each hidden layer?
I tried 2 hidden layers with random (1-20) hidden neurons each layer but huge amount of MSE obtained for training, validation and testing. Please explain why this happens?

回答(1 个)

Burhan Burak AKMAN
Burhan Burak AKMAN 2021-12-27
Increase amount of hidden neurons to 100-200 and re-train. May be it will help.
  1 个评论
Pavithra Chinatamby
Pavithra Chinatamby 2021-12-30
I tried this method, but it took more than two hours per run and the MSE is almost the same when I use 1-20 hidden neurons.

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