Neural Processing of Complex Continual Input Streams
نویسندگان
چکیده
منابع مشابه
Neural Processing of Complex Continual Input
Long Short-Term Memory (LSTM) can learn algorithms for temporal pattern processing not learnable by alternative recurrent neural networks (RNNs) or other methods such as Hidden Markov Models (HMMs) and symbolic grammar learning (SGL). Here we present tasks involving arithmetic operations on continual input streams that even LSTM cannot solve. But an LSTM variant based on \forget gates," a recen...
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