Impact of Approximate Multipliers on VGG Deep Learning Network
Impact of Approximate Multipliers on VGG Deep Learning Network is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include low-power electronics, deep learning, computer science, Multiplication, mathematical optimization, ferroelectric random-access memory, approximation error, set, analog electronics, and algorithm. The paper presents a study on the applicability of using approximate multipliers to enhance the performance of the VGGNet deep learning network.