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  2. Long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Long_short-term_memory

    The Long Short-Term Memory (LSTM) cell can process data sequentially and keep its hidden state through time. 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.

  3. Gating mechanism - Wikipedia

    en.wikipedia.org/wiki/Gating_mechanism

    An LSTM unit contains three gates: An input gate, which controls the flow of new information into the memory cell; A forget gate, which controls how much information is retained from the previous time step; An output gate, which controls how much information is passed to the next layer. The equations for LSTM are: [2]

  4. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    That is, LSTM can learn tasks that require memories of events that happened thousands or even millions of discrete time steps earlier. Problem-specific LSTM-like topologies can be evolved. [56] LSTM works even given long delays between significant events and can handle signals that mix low and high-frequency components.

  5. Types of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Types_of_artificial_neural...

    A RNN (often a LSTM) where a series is decomposed into a number of scales where every scale informs the primary length between two consecutive points. A first order scale consists of a normal RNN, a second order consists of all points separated by two indices and so on. The Nth order RNN connects the first and last node.

  6. LSTM (disambiguation) - Wikipedia

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

    LSTM may also refer to: Liverpool School of Tropical Medicine, a higher education institution in Liverpool, UK; Land Surface Temperature Monitoring, a satellite of ...

  7. ELMo - Wikipedia

    en.wikipedia.org/wiki/ELMo

    The first forward LSTM would process "bank" in the context of "She went to the", which would allow it to represent the word to be a location that the subject is going towards. The first backward LSTM would process "bank" in the context of "to withdraw money", which would allow it to disambiguate the word as referring to a financial institution.

  8. List of fan wikis - Wikipedia

    en.wikipedia.org/wiki/List_of_fan_wikis

    Wikia then began to assimilate independent fan wikis, such as Memory Alpha (a Star Trek fan wiki) and Wowpedia (a World of Warcraft fan wiki). [7] In the late 2010s—after Fandom and Gamepedia were acquired and consolidated by the private equity firm TPG Inc.—several wikis began to leave the service, including the RuneScape, Zelda, and ...

  9. Jürgen Schmidhuber - Wikipedia

    en.wikipedia.org/wiki/Jürgen_Schmidhuber

    The standard LSTM architecture was introduced in 2000 by Felix Gers, Schmidhuber, and Fred Cummins. [20] Today's "vanilla LSTM" using backpropagation through time was published with his student Alex Graves in 2005, [21] [22] and its connectionist temporal classification (CTC) training algorithm [23] in 2006. CTC was applied to end-to-end speech ...