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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. File:The LSTM Cell.svg - Wikipedia

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

    Original file (SVG file, nominally 673 × 461 pixels, file size: 55 KB) This is a file from the Wikimedia Commons. ... English: The Long Short-Term Memory (LSTM) ...

  4. 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.

  5. File:LSTM 3.svg - Wikipedia

    en.wikipedia.org/wiki/File:LSTM_3.svg

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  6. PDF - Wikipedia

    en.wikipedia.org/wiki/PDF

    A PDF file is organized using ASCII characters, except for certain elements that may have binary content. The file starts with a header containing a magic number (as a readable string) and the version of the format, for example %PDF-1.7. The format is a subset of a COS ("Carousel" Object Structure) format. [23]

  7. Local governments consider opting out of property assessment cap

    www.aol.com/news/local-governments-consider...

    The law allows governments to opt-out, but they must file a form with the Secretary of State's Office by March 1. They must show that they held three public hearings, with one being held in the ...

  8. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  9. The top 7 mental health challenges of the holidays and how to ...

    www.aol.com/top-7-mental-health-challenges...

    As the song goes, it's the most wonderful time of the year. The holidays are expected to be a joyful, harmonious, and celebratory time of year… but for many, it can also bring a mix of emotional ...

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