Classification with Neural Networks: Is it the Right Choice? - MissingLink

The simplest form of RNN ("vanilla" RNN) is similar to a regular neural network, only it contains a loop that allows the model to carry forward results from previous neuron layers. The image below "unrolls" how the loop works. The network looks at a series of inputs over time, X0, X1, X2, until Xt. For example, this could be a sequence of words in a sentence. The neural network has one layer of neurons for each input (in our example, one layer for each word).