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[D] "AI systems are always deterministic," AI teacher says. How can I reply (with examples and papers)? (alien.top)

submitted 1 year ago by shiftingsmith@alien.top to c/machinelearning@academy.garden

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I had a discussion in class with one of my teachers. He says that AI is and can only be always deterministic because "even a deep learning neural network is a set of equations running on a computer, and the stochastic factor is added at the beginning. But the output of a model is always deterministic, even if it's not interpretable by humans."

How would you reply? (Possibly with examples and papers)

Tysm!

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[–] DrFuckYeahPhD@alien.top 1 points 1 year ago

AI is absolutely deterministic. You can get different results for your model by switching around the the seed used for your random initialization, but if you give it the same seed and the same training data in the same order you'll get the same model every time. As for evaluation, once the model weights are fixed you'll get the exact same results every time you run the model with your prediction data set.