An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another. ... especially for traditional recurrent neural network (RNN)-based encoders.

Zhu RC, Wang JF, Qiu TS, Yang DK, Feng B et al. Direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional neural network. Opto-Electron Adv 6 ...

In addition, several practical applications of efficient CNNs have been investigated using various types of hardware architectures and platforms.” Find the technical paper here. Published March 2022.