NEURAL NETWORK ADAPTATION TO CURRENT COMPUTATIONAL RESOURCES
    1.
    发明申请
    NEURAL NETWORK ADAPTATION TO CURRENT COMPUTATIONAL RESOURCES 审中-公开
    神经网络适应当前的计算资源

    公开(公告)号:US20150248609A1

    公开(公告)日:2015-09-03

    申请号:US14268372

    申请日:2014-05-02

    CPC classification number: G06N3/082 G06N3/0481

    Abstract: Methods and apparatus are provided for processing in an artificial nervous system. According to certain aspects, resolution of one or more functions performed by processing units of a neuron model may be reduced, based at least in part on availability of computational resources or a power target or budget. The reduction in resolution may be compensated for by adjusting one or more network weights.

    Abstract translation: 提供了用于在人造神经系统中加工的方法和装置。 根据某些方面,可以至少部分地基于计算资源的可用性或功率目标或预算来减少由神经元模型的处理单元执行的一个或多个功能的分辨率。 可以通过调整一个或多个网络权重来补偿分辨率的降低。

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