METHOD AND SYSTEM FOR TRAINING OF NEURAL NETS

    公开(公告)号:US20190332943A1

    公开(公告)日:2019-10-31

    申请号:US16122789

    申请日:2018-09-05

    Abstract: A method and system for training a neural network are described. The method includes providing at least one continuously differentiable model of the neural network. The at least one continuously differentiable model is specific to hardware of the neural network. The method also includes iteratively training the neural network using the at least one continuously differentiable model to provide at least one output for the neural network. Each iteration uses at least one output of a previous iteration and a current continuously differentiable model of the at least one continuously differentiable model.

    BI-DIRECTIONAL WEIGHT CELL
    52.
    发明申请

    公开(公告)号:US20190154493A1

    公开(公告)日:2019-05-23

    申请号:US15886753

    申请日:2018-02-01

    Abstract: A weight cell including first and second bi-directional memory elements each configured to switch between a first resistance state and a second resistance state different than the first resistance state. A first input line is connected to a first terminal of the first bi-directional memory element, and a second input line is connected to the first terminal of the second bi-directional memory element. A first diode in forward bias connects the second terminal of the first bi-directional memory element to a first output line, a second diode in reverse bias connects the second terminal of the second bi-directional memory element to a second output line, a third diode in reverse bias connects the second terminal of the first bi-directional memory element to the second output line, and a fourth diode in forward bias connects the second terminal of the second bi-directional memory element to the first output line.

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