Weights, Biases and Forward Pass: re implementing a neural network from Scikit-Learn - Python

suppose you created your model in python with the data you collected and then want to integrate the generated model into a system that was written in another language, how could this be done?
The best alternative I found is to extract the parameter values from the neural net and re-implement the prediction function from Scikit learn, i.e. the forward pass function

[@SkyFly19853]

Can be used for Path Finding too?

[@FinFET]

Neural networks are very flexible, but you have to have good training data or a good strategy for learning

[@SkyFly19853]

@@FinFET
Hmmm...
I see...
That reminds me how they tried to solve this problem in RTS games or even on Turn Based Strategy games...

[@vernonwarren303]

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