Initializing LSTM internal states via manifold learning
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DOI: 10.1063/5.0055371
Abstract: We present an approach, based on learning an intrinsic data manifold, for the initialization of the internal state values of long short-term memory (LSTM) recurrent neural networks, ensuring consistency with the initial observed input data.… read more here.
Keywords: lstm internal; initializing lstm; via manifold; states via ... See more keywords