公开(公告)号：US11288800B1

公开(公告)日：2022-03-29

申请号：US16549898

申请日：2019-08-23

Applicant: Google LLC

Inventor： Amir Najmi ,  Ankur Taly ,  Mukund Sundararajan ,  Rory Abbott Sayres ,  Jinhau Xu

IPC: G06T7/00 ,  G06N3/08 ,  G06T5/00 ,  G06F3/14 ,  G06T11/00

Abstract: Introduced here are diagnostic platforms able to attribute an output produced by a neural network to its input, as well as communicate the relationship between the output and input in a comprehensible manner. Neural networks are increasingly being used for critical tasks, such as detecting the presence/progression of medical conditions. Accordingly, the importance of explaining how these neural networks produce outputs has grown in importance. By explaining how outputs are produced by a neural network, a diagnostic platform can build trust with medical professionals responsible for interpreting the outputs, identify possible modes of neural network failure, and identify the latent variable(s) responsible for producing a given output.