Nov. 21, 2023, 5:52 p.m. | /u/shiftingsmith

Machine Learning

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)


ai systems computer deep learning examples machinelearning network neural network running set stochastic systems teachers

Machine Learning Postdoctoral Fellow

@ Lawrence Berkeley National Lab | Berkeley, Ca

Senior Data Engineer (Microsoft Azure)

@ Capco | UK - London

Senior Data Analyst

@ Publicis Groupe | Bengaluru, India

Senior Data Engineer

@ Press Ganey | Chicago, IL, United States

Senior Data Scientist (remote from EU)

@ PriceHubble | Vienna, Vienna, Austria - Remote

Data Science Co-op

@ Novelis | Atlanta, GA, United States