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 ...

One of the key conceptual differences between traditional coding and neural network coding is that the codec architecture allows much more freedom when using neural codecs. Since both encoder and ...

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.