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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. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.

  4. Residual neural network - Wikipedia

    en.wikipedia.org/wiki/Residual_neural_network

    Examples include: [17] [18] Lang and Witbrock (1988) [19] trained a fully connected feedforward network where each layer skip-connects to all subsequent layers, like the later DenseNet (2016). In this work, the residual connection was the form x ↦ F ( x ) + P ( x ) {\displaystyle x\mapsto F(x)+P(x)} , where P {\displaystyle P} is a randomly ...

  5. 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 ...

  6. Mamba (deep learning architecture) - Wikipedia

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

    Removes the bias of subword tokenisation: where common subwords are overrepresented and rare or new words are underrepresented or split into less meaningful units. This can affect the model's understanding and generation capabilities, particularly for languages with rich morphology or tokens not well-represented in the training data.

  7. Elle a 'perfect addition' at new forever home after 1,000 ...

    www.aol.com/elle-perfect-addition-forever-home...

    Finding a loving home. Despite all the work Warmbrod and shelter staff put into Elle, it still took a while for her to find a loving home. "I think primarily because she's a bigger dog," Warmbrod ...

  8. File:LSTM cell.svg - Wikipedia

    en.wikipedia.org/wiki/File:LSTM_cell.svg

    English: Structure of a LSTM (Long Short-term Memory) cell. Orange boxes are activation functions (like sigmoid and tanh), yellow circles are pointwise operations. A linear transformation is used when two arrows merge. When one arrow splits, this is a copy operation.

  9. No. 10 Boise State beats No. 20 UNLV for Mountain West ... - AOL

    www.aol.com/sports/no-10-boise-state-beats...

    Boise State should be getting a first-round bye in the College Football Playoff. The No. 10 Broncos put No. 20 UNLV away in the first half on the way to a 21-7 win in the Mountain West Conference ...