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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

    LSTM works even given long delays between significant events and can handle signals that mix low and high-frequency components. Many applications use stacks of LSTMs, [57] for which it is called "deep LSTM". LSTM can learn to recognize context-sensitive languages unlike previous models based on hidden Markov models (HMM) and similar concepts. [58]

  4. 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]

  5. Sepp Hochreiter - Wikipedia

    en.wikipedia.org/wiki/Sepp_Hochreiter

    Hochreiter developed the long short-term memory (LSTM) neural network architecture in his diploma thesis in 1991 leading to the main publication in 1997. [3] [4] LSTM overcomes the problem of numerical instability in training recurrent neural networks (RNNs) that prevents them from learning from long sequences (vanishing or exploding gradient).

  6. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    A 380M-parameter model for machine translation uses two long short-term memories (LSTM). [23] Its architecture consists of two parts. The encoder is an LSTM that takes in a sequence of tokens and turns it into a vector. The decoder is another LSTM that converts the vector into a sequence

  7. Why Trump's plan to 'drill, baby, drill' is unlikely to cut ...

    www.aol.com/why-trumps-plan-drill-baby-100820989...

    Trump's plan to 'drill. baby, drill' isn't likely to spark more oil production, lower gasoline prices, and help reverse inflation, analysts say.

  8. We all need HGH, the hormone responsible for growth. What ...

    www.aol.com/hgh-hormone-responsible-growth...

    Most people naturally have enough HGH. For those with a growth hormone deficiency (or a few other health conditions), GH therapy may offer a solution.

  9. Lawsuit accuses major food companies of marketing 'addictive ...

    www.aol.com/news/lawsuit-accuses-major-food...

    (Reuters) -Major food companies, including Kraft Heinz, Mondelez and Coca-Cola, were hit with a new lawsuit in the U.S. on Tuesday accusing them of designing and marketing "ultra-processed" foods ...