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Long short-term memoryTransformer (machine learning model)
See this video for an explanation:https://www.youtube.com/watch?v=XymI5lluJeU
Architecture LSTM picture from Wikipedia The LSTM architecture has two memory components
A long term memory \(\displaystyle c\)
A short term memory \(\displaystyle h\) The architecture itself has the following gates in addition to the traditional RNN:
A forget gate for the long term memory (sigmoid 1)
An input gate for the long term memory (sigmoid 2)
An output gate for the short term memory/output 
