Guhyun Kim

CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method

Backward propagation of errors (backpropagation) is a method to minimize objective functions (e.g., loss functions) of deep neural networks by identifying optimal sets of weights and biases. Imposing constraints on weight precision is often required to alleviate prohibitive workloads on hardware. De…