Information about Test

  1. Long short-term memory

    aimlexchange.com/search/wiki/page/Long_short-term_memory

    Long short-term memory (LSTM) is an artificial recurrent neural network (RNN) architecture used in the field of deep learning. Unlike standard feedforward

  2. Short-term memory

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    Short-term memory (or "primary" or "active memory") is the capacity for holding, but not manipulating, a small amount of information in mind in an active

  3. Long-term memory

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    contrast to short-term and working memory, which persist for only about 18 to 30 seconds. Long-term memory is commonly labelled as explicit memory (declarative)

  4. Recurrent neural network

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    part of long short-term memory networks (LSTMs) and gated recurrent units. This is also called Feedback Neural Network. Recurrent neural networks were based

  5. Storage (memory)

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    memory psychology differentiates between the two distinct types of memory storage: short-term memory and long-term memory. Several models of memory have

  6. Time aware long short-term memory

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    Time Aware LSTM (T-LSTM) is a long short-term memory (LSTM) unit capable of handling irregular time intervals in longitudinal patient records. T-LSTM was

  7. Working memory

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    memory is often used synonymously with short-term memory, but some theorists consider the two forms of memory distinct, assuming that working memory allows

  8. Bidirectional recurrent neural networks

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    to on-line handwriting recognition based on bidirectional long short-term memory networks." Proc. 9th Int. Conf. on Document Analysis and Recognition

  9. Memory

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    functioning that is made up of a sensory processor, short-term (or working) memory, and long-term memory. This can be related to the neuron. The sensory processor

  10. Memory and retention in learning

    aimlexchange.com/search/wiki/page/Memory_and_retention_in_learning

    classifications: short-term, long-term and sensory memory. The three types of memory have specific, different functions but each are equally important for memory processes

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