# Recurrent Neural Network

For the record, RNN is not a transformer.  However, since it helps us understand the intuition behind transformer and attention, we included it here.

<figure><img src="https://1026108543-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfMiBkUCO0YX35Q3Joj8n%2Fuploads%2F9jR9feiDy6njijvWc0Zy%2Fimage.png?alt=media&#x26;token=f64bfdb8-1f02-4ede-9b68-c632373af41c" alt="" width="560"><figcaption><p>different types of sequence processing tasks</p></figcaption></figure>

<figure><img src="https://1026108543-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfMiBkUCO0YX35Q3Joj8n%2Fuploads%2FQLGuUw6nQDA9nBTGJHT0%2Fimage.png?alt=media&#x26;token=623de608-53dc-4951-b900-85219b288da7" alt="" width="563"><figcaption></figcaption></figure>
