> For the complete documentation index, see [llms.txt](https://vikram-bajaj.gitbook.io/deep-learning-specialization-coursera/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://vikram-bajaj.gitbook.io/deep-learning-specialization-coursera/main-10/sequence-models/recurrent-neural-networks/long-short-term-memory-network-lstm.md).

# Long Short-Term Memory Network (LSTM)

The LSTM unit is used for the same purpose as the GRU i.e. to learn long-term dependencies, but it is more powerful than the GRU unit.

The image below shows an LSTM unit:

![](/files/-M5-0W3dhaBZY2FxMS0v)

There are 3 gates: **forget** gate, **update** gate and **output** gate.

These are the equations associated with an LSTM unit:

![](/files/-M5-0W3fulFeJij7njW0)


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