When you don't always have the same amount of data, like when translating different sentences from one language to another, or making stock market predictions from different companies, Recurrent Neural Networks come to the rescue. In this StatQuest, we'll show you how Recurrent Neural Networks work, one step at a time, and then we'll show you their critical flaw that will lead us to understanding Long Short-Term Memory Networks.
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0:00 Awesome song and introduction
4:13 Basic anatomy of a recurrent neural network
5:59 Running data through a recurrent neural network
10:31 Shared weights and biases
11:23 The vanishing/exploding gradient problem.
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