GENERATIVE NEURAL NETWORKS
    1.
    发明申请

    公开(公告)号:US20170228633A1

    公开(公告)日:2017-08-10

    申请号:US15424708

    申请日:2017-02-03

    Applicant: Google Inc.

    CPC classification number: G06N3/0445 G06K9/6257 G06K9/66 G06N3/0472 G06N3/084

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a neural network system. In one aspect, a neural network system includes a recurrent neural network that is configured to, for each time step of a predetermined number of time steps, receive a set of latent variables for the time step and process the latent variables to update a hidden state of the recurrent neural network; and a generative subsystem that is configured to, for each time step, generate the set of latent variables for the time step and provide the set of latent variables as input to the recurrent neural network; update a hidden canvas using the updated hidden state of the recurrent neural network; and, for a last time step, generate an output image using the updated hidden canvas for the last time step.

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