论文标题
有效的神经网络实施具有二次神经元
Efficient Neural Network Implementation with Quadratic Neuron
论文作者
论文摘要
先前的工作证明，线性神经元网络与非线性激活函数（例如Relu）的组合可以实现非线性函数近似。但是，仅仅扩大或加深网络结构将引入一些培训问题。在这项工作中，我们的目标是建立一个全面的二阶CNN实施框架，其中包括神经/网络设计和系统部署优化。
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.
