Gated Orthogonal Recurrent Units: On Learning to ForgetEIWOS

    Cited by: 23|Bibtex|43|

    AAAI Workshops, 2018.

    Abstract:

    We present a novel recurrent neural network (RNN)-based model that combines the remembering ability of unitary evolution RNNs with the ability of gated RNNs to effectively forget redundant or irrelevant information in its memory. We achieve this by extending restricted orthogonal evolution RNNs with a gating mechanism similar to gated rec...More
    Your rating :
    0

     

    Tags
    Comments