Basic recurrent neural networks are great, because they can handle different amounts of sequential data, but even relatively small sequences of data can make them difficult to train. This is where Long Short-Term Memory (LSTM) saves the day. Long Short-Term Memory is a type of recurrent neural network that can handle much larger sequences of data without those pesky exploding/vanishing gradient problems that plague basic recurrent neural networks.

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0:00 Awesome song, introduction and main ideas
4:19 The sigmoid and tanh activation functions
5:58 LSTM Stage 1: The percent to remember
9:25 LSTM Stage 2: Update the long-term memory
12:42 LSTM Stage 3:Update the short-term memory
14:33 LSTM in action with real data

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StatQuest with Josh Starmer Transcript on Youtube

Long Short-Term Memory (LSTM), Clearly Explained