Dec 28, 2015 · The memory blocks use a tapped-delay line structure to encode the long context information into a fixed-size representation as short-term memory ...
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Jan 5, 2016 · In this paper, we propose a novel neural net- work structure, namely feedforward sequential memory networks (FSMN), to model long-term.
Oct 9, 2015 · We introduce a new structure for memory neural networks, called feedforward sequential memory networks (FSMN), which can learn long-term ...
Dec 28, 2015 · We introduce a new structure for memory neural networks, called feedforward sequential memory networks (FSMN), which can learn long-term ...
We introduce a new structure for memory neural networks, called feedforward sequential memory networks (FSMN), which can learn long-term dependency without ...
Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency [arXiv]; Compact Feedforward Sequential Memory Networks for Large ...
Oct 15, 2015 · We introduce a new structure for memory neural networks, called feedforward sequential memory networks (FSMN), which can learn long-term ...
Feb 20, 2017 · In this paper, we propose a novel neural network structure, namely feedforward sequential memory networks (FSMN), to model long-term ...
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[PDF] Compact Feedforward Sequential Memory Networks for Large ...
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Because the learning of FNN is much easier and faster, it is somehow preferable to use a feedfor- ward structure to learn the long-term dependency in sequences.
Feb 4, 2016 · Feedforward sequential memory networks (FSMN) is a novel neural network structure to model long-term dependency in time series without using ...