significance of max pooling in lstm for sentiment Analysis











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Can someone explain significance of max pooling layer after lstm layer in case of sentiment analysis?



How does it improves encoding of whole sentence in case of just considering output of final time step vs output of max pooling?










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    up vote
    1
    down vote

    favorite












    Can someone explain significance of max pooling layer after lstm layer in case of sentiment analysis?



    How does it improves encoding of whole sentence in case of just considering output of final time step vs output of max pooling?










    share|improve this question
























      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      Can someone explain significance of max pooling layer after lstm layer in case of sentiment analysis?



      How does it improves encoding of whole sentence in case of just considering output of final time step vs output of max pooling?










      share|improve this question













      Can someone explain significance of max pooling layer after lstm layer in case of sentiment analysis?



      How does it improves encoding of whole sentence in case of just considering output of final time step vs output of max pooling?







      neural-network lstm rnn max-pooling






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      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 12 at 17:33









      rajamohan reddy

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