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
Plain English Explanation
In the world of machine learning, there's a puzzle that's bothered researchers for years: neural networks should fail according to theory, but they succeed brilliantly in practice. Classical learning the...
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