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Artificial Intelligence (AI) Mastering Development

How to estimate the big O complexity of a neural network?

If I have a neural network with

Input layer:10 neuron
Hidden layer 1: 20 neuron with relu activation function
Batch normalization

Hidden layer 2: 30 neuron with relu activation function
Batch normalization

Hidden layer 3: 40 neuron with relu activation function
Batch normalization

Output layer : 4 neuron with logistic regression

Then how to calculate the big O complexity (any other complexity measure is ok) of such network ?

Thank you for your enthusiast

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