How can I optimize layer and neuron numbers and choose the best activation functions for my neural network?
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I'm working with feedforwardnet to solve a fitting problem and I was wondering how to find the best combination of
- layer and neuron numbers
- activation functions
- training/validation/test data set division
This should be a hyperparameters optimization problem, but I don't find anything suitable for neural networks such as those obtained with feedforwardnet