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Why Deep Learning Works: The Simple Science Behind Neural Network 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 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... Click here to read the full summary of this paper
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...
