Invention Grant
- Patent Title: Updating predictions for a deep-learning model
-
Application No.: US15394289Application Date: 2016-12-29
-
Publication No.: US10699184B2Publication Date: 2020-06-30
- Inventor: Balmanohar Paluri
- Applicant: Facebook, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Facebook, Inc.
- Current Assignee: Facebook, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Baker Botts L.L.P.
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06Q30/02 ; G06Q50/00 ; G06N20/00 ; G06N99/00 ; G06N7/00

Abstract:
In one embodiment, a system retrieves a first feature vector for an image. The image is inputted into a first deep-learning model, which is a first-version model, and the first feature vector may be output from a processing layer of the first deep-learning model for the image. The first feature vector using a feature-vector conversion model to obtain a second feature vector for the image. The feature-vector conversion model is trained to convert first-version feature vectors to second-version feature vectors. The second feature vector is associated with a second deep-learning model, and the second deep-learning model is a second-version model. The second-version model is an updated version of the first-version model. A plurality of predictions for the image may be generated using the second feature vector and the second deep-learning model.
Public/Granted literature
- US20180189672A1 Updating Predictions for a Deep-Learning Model Public/Granted day:2018-07-05
Information query