- Patent Title: On-the-fly deep learning in machine learning at autonomous machines
-
Application No.: US16783451Application Date: 2020-02-06
-
Publication No.: US11354542B2Publication Date: 2022-06-07
- Inventor: Raanan Yonatan Yehezkel Rohekar
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Jaffery Watson Mendonsa & Hamilton LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08 ; G06N3/04 ; G06V20/00 ; G06V40/16 ; G06N3/063 ; G06F9/46 ; G06V10/94 ; G06V10/44

Abstract:
A mechanism is described for facilitating on-the-fly deep learning in machine learning for autonomous machines. A method of embodiments, as described herein, includes detecting an output associated with a first deep network serving as a user-independent model associated with learning of one or more neural networks at a computing device having a processor coupled to memory. The method may further include automatically generating training data for a second deep network serving as a user-dependent model, where the training data is generated based on the output. The method may further include merging the user-independent model with the user-dependent model into a single joint model.
Public/Granted literature
- US20200279135A1 ON-THE-FLY DEEP LEARNING IN MACHINE LEARNING AT AUTONOMOUS MACHINES Public/Granted day:2020-09-03
Information query