Body: <p>I'm studying recurrent neural networks. Reading <a href="https://stanford.edu/%7Eshervine/teaching/cs-230/cheatsheet-recurrent-neural-networks" rel="nofollow noreferrer">this page</a> where it lists different types of recurrent network architectures, I think think of applications involving one-to-many (speech/sentence generation), many-to-one (a conventional time-series classification/prediction task) and many-to-many (machine translation). But I can't really think of an application where it's one-to-one. What is one-to-one used for?</p>
  <p>[Edit] Note that on the page, it says ``Traditional neural network'' for one-to-one networks. But a traditional neural network would be a feedforward network rather than RNN? [\Edit]</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-04-11T11:01:06.277Z
Comments.Text: I don't understand your last remark 'Note that on the page, it says ``Traditional neural network'' for one-to-one networks'. Why are you making this remark? What is your actual question? Are you asking what would be a 1-to-1 application of RNNs?
Comments.UserDisplayName: nbro
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-04-12T01:04:35.707Z
Comments.Text: Yes to "Are you asking what would be a 1-to-1 application of RNNs". My remark refers to the link (https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks). In there, they've noted on the side of each architecture type the type of application that will use that architecture. For one-to-one, it just says "traditional neural network". I'm struggling to understand what that's actually referring to.
Comments.UserDisplayName: stevew
Tags: <recurrent-neural-networks>
Title: Applications of one-to-one recurrent networks
UserDisplayName: stevew
ThreadText: # Applications of one-to-one recurrent networks
  
  (Asked by: username_0 on 2022-04-10)
  
  I'm studying recurrent neural networks. Reading [this page](https://stanford.edu/%7Eshervine/teaching/cs-230/cheatsheet-recurrent-neural-networks) where it lists different types of recurrent network architectures, I think think of applications involving one-to-many (speech/sentence generation), many-to-one (a conventional time-series classification/prediction task) and many-to-many (machine translation). But I can't really think of an application where it's one-to-one. What is one-to-one used for?
  
  [Edit] Note that on the page, it says ``Traditional neural network'' for one-to-one networks. But a traditional neural network would be a feedforward network rather than RNN? [\Edit]
  
  **Tags:** recurrent-neural-networks
  
  > **Comments:**
  > **username_1**: I don't understand your last remark 'Note that on the page, it says ``Traditional neural network'' for one-to-one networks'. Why are you making this remark? What is your actual question? Are you asking what would be a 1-to-1 application of RNNs?  
  > **username_0**: Yes to "Are you asking what would be a 1-to-1 application of RNNs". My remark refers to the link (https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks). In there, they've noted on the side of each architecture type the type of application that will use that architecture. For one-to-one, it just says "traditional neural network". I'm struggling to understand what that's actually referring to.  
  
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  ## 0 answers
  
  