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

Опубликовано: 16 Октябрь 2024
на канале: FinFET
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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