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  2. Batch normalization - Wikipedia

    en.wikipedia.org/wiki/Batch_normalization

    In a neural network, batch normalization is achieved through a normalization step that fixes the means and variances of each layer's inputs. Ideally, the normalization would be conducted over the entire training set, but to use this step jointly with stochastic optimization methods, it is impractical to use the global information.

  3. Dilution (neural networks) - Wikipedia

    en.wikipedia.org/wiki/Dilution_(neural_networks)

    On the left is a fully connected neural network with two hidden layers. On the right is the same network after applying dropout. Dilution and dropout (also called DropConnect [1]) are regularization techniques for reducing overfitting in artificial neural networks by preventing complex co-adaptations on training data.

  4. PyPy - Wikipedia

    en.wikipedia.org/wiki/PyPy

    On 21 March 2017, the PyPy project released version 5.7 of both PyPy and PyPy3, with the latter introducing beta-quality support for Python 3.5. [25] On 26 April 2018, version 6.0 was released, with support for Python 2.7 and 3.5 (still beta-quality on Windows). [26] On 11 February 2019, version 7.0 was released, with support for Python 2.7 and ...

  5. Job scheduler - Wikipedia

    en.wikipedia.org/wiki/Job_scheduler

    A job scheduler is a computer application for controlling unattended background program execution of jobs. [1] This is commonly called batch scheduling, as execution of non-interactive jobs is often called batch processing, though traditional job and batch are distinguished and contrasted; see that page for details.

  6. Lambda architecture - Wikipedia

    en.wikipedia.org/wiki/Lambda_architecture

    The batch layer precomputes results using a distributed processing system that can handle very large quantities of data. The batch layer aims at perfect accuracy by being able to process all available data when generating views. This means it can fix any errors by recomputing based on the complete data set, then updating existing views.

  7. Batch processing - Wikipedia

    en.wikipedia.org/wiki/Batch_processing

    A batch window is "a period of less-intensive online activity", [11] when the computer system is able to run batch jobs without interference from, or with, interactive online systems. A bank's end-of-day (EOD) jobs require the concept of cutover , where transaction and data are cut off for a particular day's batch activity ("deposits after 3 PM ...

  8. SciPy - Wikipedia

    en.wikipedia.org/wiki/SciPy

    SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [2]) is a free and open-source Python library used for scientific computing and technical computing. [3]SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.

  9. Turnaround time - Wikipedia

    en.wikipedia.org/wiki/Turnaround_time

    Lead Time vs Turnaround Time: Lead Time is the amount of time, defined by the supplier or service provider, that is required to meet a customer request or demand. [5] Lead-time is basically the time gap between the order placed by the customer and the time when the customer get the final delivery, on the other hand the Turnaround Time is in order to get a job done and deliver the output, once ...