> "a bunch of matrix multiplications", which is generally incorrect  this is correct > then you said something about neurons "activating" (which doesn't make sense) this also correct considering a relu function is the standard. > matrix multiplications being the important part (which is incorrect) this is also correct, no multiplications = no network, no activation functions = a network (albeit less than optimal)  you still haven't adressed this please explain to me what pca is and what high variance and low bias is a generally a sign of in machine learning. should be easy
Netherlands