Neural Networks as Linear Regression: An Introduction for Statisticians

This article introduces neural networks to statisticians by demystifying the field through the lens of linear regression approximation.

• The work targets classical statisticians trained in a frequentist perspective who face high barriers to entry in computer science.
• It describes specific network architectures that approximate linear regression to serve as a foundational starting point.