US 2018/0322365 A1 · ON THE FLY DEEP LEARNING IN MACHINE LEARNING FOR AUTONOMOUS MACHINES

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.

Claims20

Dependent claims

An apparatus comprising:

detection/observation logic, as facilitated by or at least partially incorporated into a processor, to detect an output associated with a first deep network serving as a user-independent model associated with learning of one or more neural networks at the apparatus having the processor;
and
learning on-the-fly logic to automatically generate training data for a second deep network serving as a user-dependent model, wherein the training data is generated based on the output,
wherein the learning on-the-fly logic is further to merge the user-independent model with the user-dependent model into a single joint model.

1 more element

Dependencies are inferred from the claim text.

Facts

Application

15/659,818Filed 26 Jul 2017

Priority

5 May 2017

Published

8 Nov 2018

Term ends

Not estimatedThe source records don’t support an estimate.

Classification26 codes

G06N 3/063
Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons: using electronic means
G06F 9/46
Using stored programs, i.e. using an internal store of processing equipment to receive or retain programs: multiprogramming arrangements
G06F 18/214
Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation: generating training…
G06F 18/2148
Generating training patterns; Bootstrap methods, e.g. bagging or boosting: characterised by the process organisation or structure, e.g. boosting…

On the fly deep learning in machine learning for autonomous machines

Life of this patent

On the fly deep learning in machine learning for autonomous machines

Life of this patent

Abstract

Claims20