Why Deep Learning Works: Neural Network Success Explained
Neural networks generalize well despite theoretical limitations due to 'soft inductive bias' & compression of information. 5 frameworks explain how simplicity & training impact deep learning success.
This is a Plain English Papers summary of a research paper called Why Deep Learning Works: The Simple Science Behind Neural Network Success. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter. Overview Neural networks generalize well despite theoretical limitations The concept of "soft inductive bias" explains this phenomenon Generalization depends on how networks compress information Five different theoretical frameworks help explain neural network generalization Training simplicity and compression are key to understanding deep learning...