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Showing 1 to 2 of 2 for “"Back propagation through time"”.

  1. Higher Order Recurrent Neural Network for Language Modeling

    … all recurrently fed to the hidden layers as feedback through different weighted paths. By extending the popular recurrent structure in RNNs, we provide the models with better short-term memory mechanism to learn long term dependency in sequences. Analogous to digital filters in signal processing, …

    york Repository record for Higher Order Recurrent Neural Network for Language Modeling (opens in a new tab)

  2. An Enhanced Learning for Restricted Hopfield Networks

    … variant of SPSA which in conjunction with back-propagation over time result in a training algorithm with an enhanced convergence for RHN. The trained network is also shown to achieve a better memory recall in the presence of noisy/distorted input. We perform several experiments, using …

    ottawa-retro Repository record for An Enhanced Learning for Restricted Hopfield Networks (opens in a new tab)