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    DYNAMICALLY MODIFYING A BOUNDARY OF A DEEP LEARNING NETWORK
    2.
    发明申请
    DYNAMICALLY MODIFYING A BOUNDARY OF A DEEP LEARNING NETWORK 审中-公开
    动态修改深度学习网络的边界

    公开(公告)号：US20160098646A1

    公开(公告)日：2016-04-07

    申请号：US14506972

    申请日：2014-10-06

    Applicant: Seagate Technology LLC

    Inventor： Kevin Arthur Gomez ,  Frank Dropps ,  Ryan James Goss ,  Jon Trantham ,  Antoine Khoueir

    IPC: G06N99/00 ,  H04L29/08 ,  G06N3/08

    CPC classification number: G06N20/00 ,  G06N3/0454 ,  G06N7/005 ,  H04L67/10 ,  H04L67/141

    Abstract: A connection between a user device and a network server is established. Via the connection, a deep learning network is formed for a processing task. A first portion of the deep learning network operates on the user device and a second portion of the deep learning network operates on the network server. Based on cooperation between the user device and the network server, a boundary between the first portion and the second portion of the deep learning network is dynamically modified based on a change in a performance indicator that could affect the processing task

    Abstract translation: 建立用户设备与网络服务器之间的连接。 通过连接，形成了用于处理任务的深度学习网络。 深度学习网络的第一部分在用户设备上操作，并且深度学习网络的第二部分在网络服务器上操作。 基于用户设备和网络服务器之间的协作，基于可能影响处理任务的性能指标的变化来动态地修改深度学习网络的第一部分和第二部分之间的边界

    NEURAL NETWORK CONNECTIONS USING NONVOLATILE MEMORY DEVICES
    5.
    发明申请
    NEURAL NETWORK CONNECTIONS USING NONVOLATILE MEMORY DEVICES 审中-公开
    使用非易失性存储器件进行神经网络连接

    公开(公告)号：US20150324691A1

    公开(公告)日：2015-11-12

    申请号：US14704124

    申请日：2015-05-05

    Applicant: Seagate Technology LLC

    Inventor： Frank Dropps ,  Antoine Khoueir ,  Kevin Arthur Gomez ,  Jon Trantham

    IPC: G06N3/08 ,  G06N3/04

    CPC classification number: G06N3/04 ,  G06N3/063 ,  G06N3/08

    Abstract: A system includes a plurality of nonvolatile memory cells and a map that assigns connections between nodes of a neural network to the memory cells. Memory devices containing nonvolatile memory cells and applicable circuitry for reading and writing may operate with the map. Information stored in the memory cells can represent weights of the connections. One or more neural processors can be present and configured to implement the neural network.

    Abstract translation: 系统包括多个非易失性存储器单元和将神经网络的节点之间的连接分配给存储器单元的映射。 包含非易失性存储单元的存储器件和用于读取和写入的适用电路可以与地图一起操作。 存储在存储单元中的信息可以表示连接的权重。 可以存在并配置一个或多个神经处理器来实现神经网络。

    STORAGE DEVICE WITH CONFIGURABLE NEURAL NETWORKS
    7.
    发明申请
    STORAGE DEVICE WITH CONFIGURABLE NEURAL NETWORKS 审中-公开
    具有可配置神经网络的存储设备

    公开(公告)号：US20160247080A1

    公开(公告)日：2016-08-25

    申请号：US14626172

    申请日：2015-02-19

    Applicant: Seagate Technology LLC

    Inventor： Jon Trantham ,  Kevin Arthur Gomez ,  Frank Dropps ,  Antoine Khoueir ,  Scott Younger

    IPC: G06N7/00 ,  G06N3/04 ,  G06N99/00

    CPC classification number: G06N3/0472 ,  G06N3/063

    Abstract: An apparatus comprises a mass storage unit and a plurality of circuit modules including a machine learning module, a programmable state machine module, and input/output interfaces. Switching circuitry is configured to selectively couple the circuit modules. Configuration circuitry is configured to access configuration data from the mass storage unit and to operate the switching circuitry to connect the circuit modules according to the configuration data.

    Abstract translation: 一种装置包括大容量存储单元和包括机器学习模块，可编程状态机模块和输入/输出接口的多个电路模块。 开关电路被配置为选择性地耦合电路模块。 配置电路被配置为从大容量存储单元访问配置数据并且操作开关电路以根据配置数据连接电路模块。

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