**arXiv ID:** 1909.09588 **Authors:** Rene Schaub **Published:** 2019-08-25T21:59:26Z **Abstract:** The success of Deep Learning methods is not well understood, though various attempts at explaining it have been made, typically centered on properties of stochastic gradient descent. Even less clear is why certain neural network architectures perform better than others. We provide a potential opening with the hypothesis that neural network training is a form of Genetic Programming.
Scanned 9/11/2026
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# What are Neural Networks made of?
**arXiv ID:** 1909.09588
**Authors:** Rene Schaub
**Published:** 2019-08-25T21:59:26Z
**Abstract:**
The success of Deep Learning methods is not well understood, though various attempts at explaining it have been made, typically centered on properties of stochastic gradient descent. Even less clear is why certain neural network architectures perform better than others. We provide a potential opening with the hypothesis that neural network training is a form of Genetic Programming.
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This skill is generated from the arXiv paper: What are Neural Networks made of? (1909.09588).
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## References
- [arXiv:1909.09588](http://arxiv.org/abs/1909.09588v1)
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