Long Short-Term Memory. A type of recurrent neural network designed to remember information over long sequences using special gates that control what to remember and forget. Solved the vanishing gradient problem that plagued simple RNNs. Was the go-to for sequence tasks before transformers took over.
Recurrent Neural Network.
A neural network architecture where connections form loops, letting the network maintain a form of memory across sequences.
A mathematical function applied to a neuron's output that introduces non-linearity into the network.
An optimization algorithm that combines the best parts of two other methods — AdaGrad and RMSProp.
Artificial General Intelligence.
The research field focused on making sure AI systems do what humans actually want them to do.
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