# Efficient Neural Network Implementation with Quadratic Neuron

arXiv: https://arxiv.org/abs/2011.10813 · HTML: https://mlsanity.com/paper/2011.10813/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Nov 2020.

## Built on by (most cited first, 2 of 2)

- [A Quadratic Actor Network for Model-Free Reinforcement Learning](https://mlsanity.com/paper/2103.06617/) (2021)
- [Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks](https://mlsanity.com/paper/2306.07294/) (2023)

## Abstract (arXiv)

Previous works proved that the combination of the linear neuron network with nonlinear activation functions (e.g. ReLu) can achieve nonlinear function approximation. However, simply widening or deepening the network structure will introduce some training problems. In this work, we are aiming to build a comprehensive second-order CNN implementation framework that includes neuron/network design and system deployment optimization.