公开(公告)号：US20200293497A1

公开(公告)日：2020-09-17

申请号：US16818895

申请日：2020-03-13

Applicant: DeepMind Technologies Limited

Inventor： Yan Wu ,  Timothy Paul Lillicrap ,  Mihaela Rosca

IPC: G06F16/174 ,  G06N3/04 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for compressed sensing using neural networks. One of the methods includes receiving an input measurement of an input data item; for each of one or more optimization steps: processing a latent representation using a generator neural network to generate a candidate reconstructed data item, processing the candidate reconstructed data item using a measurement neural network to generate a measurement of the candidate reconstructed data item, and updating the latent representation to reduce an error between the measurement and the input measurement; and processing the latent representation after the one or more optimization steps using the generator neural network to generate a reconstruction of the input data item.

公开(公告)号：US12032523B2

公开(公告)日：2024-07-09

申请号：US16818895

申请日：2020-03-13

Applicant: DeepMind Technologies Limited

Inventor： Yan Wu ,  Timothy Paul Lillicrap ,  Mihaela Rosca

IPC: G06F16/174 ,  G06N3/045 ,  G06N3/08

CPC classification number: G06F16/1744 ,  G06N3/045 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for compressed sensing using neural networks. One of the methods includes receiving an input measurement of an input data item; for each of one or more optimization steps: processing a latent representation using a generator neural network to generate a candidate reconstructed data item, processing the candidate reconstructed data item using a measurement neural network to generate a measurement of the candidate reconstructed data item, and updating the latent representation to reduce an error between the measurement and the input measurement; and processing the latent representation after the one or more optimization steps using the generator neural network to generate a reconstruction of the input data item.