Why only 1 LSTM unit in the NER system?

Course Q&A Natural Language Processing NLP with Sequence Models
1

Hi, in week 3, we’re building an NER system using a single LSTM layer. Why are we using a single LSTM unit? If there is only a single LSTM unit, doesn’t that mean there is nothing being remembered? For a system to take into account previous inputs, should there be at least 2 LSTM units, with the first unit feeding into the second?

I’m just wondering how the NER system works if there’s really no memory.

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Nevermind, the assignment uses an LSTM layer. Got hung up with the single unit in the reading/videos, which doesn’t look like that’s the actual architecture we’ll be using.

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