No of inputs + no of outputs)^0.5 + (1 to 10). To fix the constant value (last part, 0 to 10), use trial and error and find the optimal no of hidden layer neurons for the min mse.
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I have 18 input features for a prediction network, so how many hidden layers should I take and what number of nodes are there in those hidden layers
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