The key in feedforward networks is that they always push the input/output forward, never backward, as occurs in a recurrent neural network ... They use an encoder-decoder structure and allow ...

2023.220148 discusses the direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional neural network. Metasurfaces, as two-dimensional ...

[Sam Greydanus] created a neural network that can encode and decode messages just as ... Term Memory (LSTM ) network, a type of Recurrent Neural Network (RNN) that we talked about in our article ...