In this chapter, we learned about long short-term memory recurrent neural networks. We programmed an example application showing how to use them, and we learned some basic terminology along the way. We covered topics such as LSTMs, tensors, static and dynamic axes, loading datasets, plotting data, creating models, and creating minibatches. In our next chapter, we will visit a very close cousin of LSTM networks: gated recurrent units.