Answers.Body: <p>Both CNN and RNN fall into the super set of neural networks,however applications of the two matters.</p>
  
  <p>So to branch them off in terms of applications,</p>
  
  <blockquote>
    <p>I would say CNN’s are mainly used for vision related applications,
    whereas, RNN’s are mainly used for language processing applications.</p>
  </blockquote>
  
  <p>You can refer to these links for further details.</p>
  
  <p><a href="https://arxiv.org/abs/1702.01923" rel="nofollow noreferrer">Comparative Study of CNN and RNN for Natural Language Processing
  </a></p>
  
  <p><a href="http://karpathy.github.io/2015/05/21/rnn-effectiveness/" rel="nofollow noreferrer">How are recurrent neural networks different from convolutional neural networks?</a>
  <em>The unreasonable effectiveness of Recurrent Neural Networks</em></p>
  
  <p>Hope this can give you a glimpse!</p>
  
Answers.ContentLicense: CC BY-SA 3.0
Answers.CreationDate: 2018-03-16T18:54:33.520Z
Answers.LastActivityDate: 2018-03-16T18:54:33.520Z
Answers.UserDisplayName: quintumnia
Answers.Body: <p>You are right. I think you are just misinterpreting the part of the sentence ('specifically LSTMs'). LSTMs are an example of a popular type of RNN.
  RNNs and CNNs are different architectures but they can be used together.</p>
  
  <p>Here is another sentence with the same structure:</p>
  
  <blockquote>
    <p>It is clear than dogs, specifically corgis, and cats are very common in online memes.</p>
  </blockquote>
  
  <p><a href="https://i.sstatic.net/Ztt5e.jpg" rel="nofollow noreferrer"><img src="https://i.sstatic.net/Ztt5e.jpg" alt="A cat and a corgi"></a></p>
  
Answers.ContentLicense: CC BY-SA 3.0
Answers.CreationDate: 2018-03-15T12:21:44.953Z
Answers.LastActivityDate: 2018-03-15T13:04:38.150Z
Answers.LastEditDate: 2018-03-15T13:04:38.150Z
Answers.UserDisplayName: Jaden Travnik
Body: <p>I asked my self this simple question while reading <a href="https://web.stanford.edu/class/cs224n/reports/2762092.pdf" rel="nofollow noreferrer">"Comment Abuse Classification with Deep Learning"</a> by Chu and Jue. Indeed, they say at the end of the that </p>
  
  <blockquote>
    <p><em>It is clear that RNNs, specifically LSTMs, and CNNs are state-of-the-art  architectures for sentiment analysis</em></p>
  </blockquote>
  
  <p>To my mind CNNs were only neurons arranged so that they correspond to overlapping regions when paving the input field. It wasn't that recurrent at all.</p>
  
Tags: <convolutional-neural-networks><recurrent-neural-networks><comparison>
Title: Do convolutional neural networks also have recurrent connections?
UserDisplayName: Revolucion for Monica
ThreadText: # Do convolutional neural networks also have recurrent connections?
  
  (Asked by: username_0 on 2018-03-15)
  
  I asked my self this simple question while reading ["Comment Abuse Classification with Deep Learning"](https://web.stanford.edu/class/cs224n/reports/2762092.pdf) by Chu and Jue. Indeed, they say at the end of the that
  
  > *It is clear that RNNs, specifically LSTMs, and CNNs are state-of-the-art architectures for sentiment analysis*
  
  To my mind CNNs were only neurons arranged so that they correspond to overlapping regions when paving the input field. It wasn't that recurrent at all.
  
  **Tags:** convolutional-neural-networks, recurrent-neural-networks, comparison
  
  
  ---
  
  ## 2 answers
  
  ### Answer by username_2 on 2018-03-15. Score: 4 | Accepted answer
  
  You are right. I think you are just misinterpreting the part of the sentence ('specifically LSTMs'). LSTMs are an example of a popular type of RNN.
  RNNs and CNNs are different architectures but they can be used together.
  
  Here is another sentence with the same structure:
  
  > It is clear than dogs, specifically corgis, and cats are very common in online memes.
  
  [![A cat and a corgi](https://i.sstatic.net/Ztt5e.jpg)](https://i.sstatic.net/Ztt5e.jpg)
  
  
  ---
  
  ### Answer by username_1 on 2018-03-16. Score: 3
  
  Both CNN and RNN fall into the super set of neural networks,however applications of the two matters.
  
  So to branch them off in terms of applications,
  
  > I would say CNN’s are mainly used for vision related applications,
  > whereas, RNN’s are mainly used for language processing applications.
  
  You can refer to these links for further details.
  
  [Comparative Study of CNN and RNN for Natural Language Processing](https://arxiv.org/abs/1702.01923)
  
  [How are recurrent neural networks different from convolutional neural networks?](http://karpathy.github.io/2015/05/21/rnn-effectiveness/)
  *The unreasonable effectiveness of Recurrent Neural Networks*
  
  Hope this can give you a glimpse!
  
  
  ---
  
  