METHODS AND APPARATUS FOR TAGGING CLASSES USING SUPERVISED LEARNING
    1.
    发明申请
    METHODS AND APPARATUS FOR TAGGING CLASSES USING SUPERVISED LEARNING 有权
    使用监督学习标签类的方法和装置

    公开(公告)号:US20150120626A1

    公开(公告)日:2015-04-30

    申请号:US14065089

    申请日:2013-10-28

    CPC classification number: G06N3/049 G06N3/0454 G06N3/08

    Abstract: Certain aspects of the present disclosure provide methods and apparatus for creating tags (static or dynamic) for input/output classes of a neural network model using supervised learning. The method includes augmenting a neural network model with a plurality of neurons and training the augmented network using spike timing dependent plasticity (STDP) to determine one or more tags.

    Abstract translation: 本公开的某些方面提供了使用监督学习为神经网络模型的输入/输出类创建标签(静态或动态)的方法和装置。 该方法包括用多个神经元增强神经网络模型,并使用尖峰定时相关可塑性(STDP)训练增强网络来确定一个或多个标签。

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