Efficient and provably convergent end-to-end training of deep neural networks with linear constraints

Zonglin Yang, Zhexuan Gu, Yancheng Yuan

Training a deep neural network with the outputs of selected layers satisfying linear constraints is required in many contemporary data-driven applications. While this can be achiev…