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  2. Long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Long_short-term_memory

    Long short-term memory (LSTM) [1] is a type of recurrent neural network (RNN) aimed at mitigating the vanishing gradient problem [2] commonly encountered by traditional RNNs. Its relative insensitivity to gap length is its advantage over other RNNs, hidden Markov models , and other sequence learning methods.

  3. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    Long short-term memory unit. Long short-term memory (LSTM) is the most widely used RNN architecture. It was designed to solve the vanishing gradient problem. LSTM is normally augmented by recurrent gates called "forget gates". [54] LSTM prevents backpropagated errors from vanishing or exploding. [55]

  4. 3 Reasons Long-Term Rentals Are Better Than Airbnbs - AOL

    www.aol.com/3-reasons-long-term-rentals...

    Here’s why some experts believe in the long-term approach over short-term rental platforms. For the full picture, find out some reasons Airbnbs can be better than long-term rentals .

  5. Time aware long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Time_aware_long_short-term...

    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 developed by researchers from Michigan State University, IBM Research, and Cornell University and was first presented in the Knowledge Discovery and Data Mining (KDD) conference. [1]

  6. Bidirectional recurrent neural networks - Wikipedia

    en.wikipedia.org/wiki/Bidirectional_recurrent...

    Bidirectional recurrent neural networks (BRNN) connect two hidden layers of opposite directions to the same output.With this form of generative deep learning, the output layer can get information from past (backwards) and future (forward) states simultaneously.

  7. Gated recurrent unit - Wikipedia

    en.wikipedia.org/wiki/Gated_recurrent_unit

    Gated recurrent units (GRUs) are a gating mechanism in recurrent neural networks, introduced in 2014 by Kyunghyun Cho et al. [1] The GRU is like a long short-term memory (LSTM) with a gating mechanism to input or forget certain features, [2] but lacks a context vector or output gate, resulting in fewer parameters than LSTM. [3]

  8. LSTM (disambiguation) - Wikipedia

    en.wikipedia.org/wiki/LSTM_(disambiguation)

    LSTM is long short-term memory, an artificial neural network. LSTM may also refer to: Liverpool School of Tropical Medicine, a higher education institution in Liverpool, UK; Land Surface Temperature Monitoring, a satellite of the Copernicus Programme

  9. Long-term memory - Wikipedia

    en.wikipedia.org/wiki/Long-term_memory

    Long-term memory (LTM) is the stage of the Atkinson–Shiffrin memory model in which informative knowledge is held indefinitely. It is defined in contrast to sensory memory, the initial stage, and short-term or working memory, the second stage, which persists for about 18 to 30 seconds.