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  2. 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]

  3. Gating mechanism - Wikipedia

    en.wikipedia.org/wiki/Gating_mechanism

    The gated recurrent unit (GRU) simplifies the LSTM. [3] Compared to the LSTM, the GRU has just two gates: a reset gate and an update gate. GRU also merges the cell state and hidden state. The reset gate roughly corresponds to the forget gate, and the update gate roughly corresponds to the input gate. The output gate is removed. There are ...

  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. Installation (computer programs) - Wikipedia

    en.wikipedia.org/wiki/Installation_(computer...

    Installation (or setup) of a computer program (including device drivers and plugins), is the act of making the program ready for execution. Installation refers to the particular configuration of software or hardware with a view to making it usable with the computer. A soft or digital copy of the piece of software (program) is needed to install it.

  6. 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]

  7. Windows Driver Model - Wikipedia

    en.wikipedia.org/wiki/Windows_Driver_Model

    However, Windows 10 64-bit drivers now need to be signed by Microsoft. Therefore, device vendors have to submit their drivers to Microsoft for testing and approval. The driver installation package includes all files in the .inf directory, and all files in the package need to be installed, otherwise the installation of the device driver may fail.

  8. Kernel-Mode Driver Framework - Wikipedia

    en.wikipedia.org/wiki/Kernel-Mode_Driver_Framework

    WDM is the driver model used since the advent of Windows 98, whereas KMDF is the driver framework Microsoft advocates and uses for Windows 2000 and beyond. In general, since more features like power management and plug and play are handled by the KMDF framework, a KMDF driver is less complicated and has less code than an equivalent WDM driver.

  9. User-Mode Driver Framework - Wikipedia

    en.wikipedia.org/wiki/User-Mode_Driver_Framework

    User-Mode Driver Framework (UMDF) is a device-driver development platform first introduced with Microsoft's Windows Vista operating system, and is also available for Windows XP. It facilitates the creation of drivers for certain classes of devices.