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  2. Revenue recognition - Wikipedia

    en.wikipedia.org/wiki/Revenue_recognition

    In accounting, the revenue recognition principle states that revenues are earned and recognized when they are realized or realizable, no matter when cash is received. It is a cornerstone of accrual accounting together with the matching principle. Together, they determine the accounting period in which revenues and expenses are recognized. [1]

  3. AlexNet - Wikipedia

    en.wikipedia.org/wiki/AlexNet

    AlexNet is the name of a convolutional neural network (CNN) architecture, designed by Alex Krizhevsky in collaboration with Ilya Sutskever and Geoffrey Hinton, who was Krizhevsky's Ph.D. advisor at the University of Toronto. [1][2] The three formed team SuperVision [3] and submitted AlexNet in the ImageNet Large Scale Visual Recognition ...

  4. Computer network - Wikipedia

    en.wikipedia.org/wiki/Computer_network

    An internetwork is the connection of multiple different types of computer networks to form a single computer network using higher-layer network protocols and connecting them together using routers. The Internet is the largest example of internetwork. It is a global system of interconnected governmental, academic, corporate, public, and private ...

  5. History of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/History_of_artificial...

    Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks. Their creation was inspired by neural circuitry. [1] [a] While some of the computational implementations ANNs relate to earlier discoveries in mathematics, the first implementation of ANNs was by psychologist Frank Rosenblatt, who developed the perceptron. [1]

  6. U-Net - Wikipedia

    en.wikipedia.org/wiki/U-Net

    U-Net is a convolutional neural network that was developed for image segmentation. [1] The network is based on a fully convolutional neural network [2] whose architecture was modified and extended to work with fewer training images and to yield more precise segmentation. Segmentation of a 512 × 512 image takes less than a second on a modern ...

  7. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Fundamentally, deep learning refers to a class of machine learning algorithms in which a hierarchy of layers is used to transform input data into a slightly more abstract and composite representation. For example, in an image recognition model, the raw input may be an image (represented as a tensor of pixels).

  8. Order to cash - Wikipedia

    en.wikipedia.org/wiki/Order_to_cash

    Order to cash (OTC or O2C) normally refers to one of the top-level (context level) business processes for receiving and processing customer orders and revenue recognition. . Order to cash is an essential function in finance; the entire cycle of events happens after a customer places an order until the customer pays for the order; that is, the order is converted to c

  9. OSI model - Wikipedia

    en.wikipedia.org/wiki/OSI_model

    The Open Systems Interconnection (OSI) model is a reference model from the International Organization for Standardization (ISO) that "provides a common basis for the coordination of standards development for the purpose of systems interconnection." [2] In the OSI reference model, the communications between systems are split into seven different ...