Backpropagation with N-D Vector-Valued Neurons Using Arbitrary Bilinear Products

Zhe-Cheng Fan, Tak-Shing T. Chan, Yi-Hsuan Yang +1

Vector-valued neural learning has emerged as a promising direction in deep learning recently. Traditionally, training data for neural networks (NNs) are formulated as a vector of s…