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  2. 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]

  3. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    In September 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation, a newly created subsidiary of the Linux Foundation. [ 24 ] PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo , a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and ...

  4. Torch (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Torch_(machine_learning)

    The torch package also simplifies object-oriented programming and serialization by providing various convenience functions which are used throughout its packages. The torch.class(classname, parentclass) function can be used to create object factories ().

  5. LoadRunner - Wikipedia

    en.wikipedia.org/wiki/LoadRunner

    LoadRunner is a software testing tool from OpenText.It is used to test applications, measuring system behavior and performance under load.. LoadRunner can simulate millions of users concurrently using application software, recording and later analyzing the performance of key components of the application whilst under load.

  6. API testing - Wikipedia

    en.wikipedia.org/wiki/Api_testing

    API testing is a type of software testing that involves testing application programming interfaces (APIs) directly and as part of integration testing to determine if they meet expectations for functionality, reliability, performance, and security. [1] Since APIs lack a GUI, API testing is performed at the message layer. [2]

  7. Kernel method - Wikipedia

    en.wikipedia.org/wiki/Kernel_method

    For many algorithms that solve these tasks, the data in raw representation have to be explicitly transformed into feature vector representations via a user-specified feature map: in contrast, kernel methods require only a user-specified kernel, i.e., a similarity function over all pairs of data points computed using inner products.

  8. Checkpoint Charlie - Wikipedia

    en.wikipedia.org/wiki/Checkpoint_Charlie

    Checkpoint Charlie (or "Checkpoint C") was the Western Allies' name for the best-known Berlin Wall crossing point between East Berlin and West Berlin during the Cold War (1947–1991), [1] becoming a symbol of the Cold War, representing the separation of East and West.

  9. Automated optical inspection - Wikipedia

    en.wikipedia.org/wiki/Automated_optical_inspection

    An Automated Optical Inspection device. Automated optical inspection (AOI) is an automated visual inspection of printed circuit board (PCB) (or LCD, transistor) manufacture where a camera autonomously scans the device under test for both catastrophic failure (e.g. missing component) and quality defects (e.g. fillet size or shape or component skew).