The key in feedforward networks is that they always push the input/output forward, never backward, as occurs in a recurrent neural network, discussed next. Recurrent neural network (RNN) ...

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 ...

Here's your secret decoder for A.I. buzzwords By ... neural networks modify their own code to find the link between input and output — or cause and effect — in situations ...

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 ...

Can this unknown input be reconstructed from output ... the brain to decode input signals from output neuron ... brain is the synchronization of this neural firing when triggered ...