With the code, posted on GitHub, you get what's called an "encoder-decoder" neural network, constructed out of so-called Long Short-Term Memory (LSTM) neural nets, a workhorse of speech and text ...

The code for LASER, available on GitHub, provides an “encoder-decoder” neural network that’s built using Long Short-Term Memory neural nets that are used to understand human speech and text.

A new publication from Opto-Electronic Advances, 10.29026/oea.2023.220148 discusses the direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder ...