Deep learning approximates non-linear functions and the binary functions at the heart of CPUs are inherently linear no? That would seem to contradict the argument that you can’t build non linear functions out of linear parts. As a general concept, it seems generally possible to approximate non linear functions with linear ones, which I imagine is how deep learning works. I’m not a domain expert at any of these math topics though so happy to learn more.
Deep learning approximates non-linear functions and the binary functions at the heart of CPUs are inherently linear no? That would seem to contradict the argument that you can’t build non linear functions out of linear parts. As a general concept, it seems generally possible to approximate non linear functions with linear ones, which I imagine is how deep learning works. I’m not a domain expert at any of these math topics though so happy to learn more.
https://mathinsight.org/approximating_nonlinear_function_by_... https://en.m.wikipedia.org/wiki/Linearization https://stackoverflow.com/questions/4908893/what-logic-gates...