US 2018/0322385 A1 · EFFICIENT LEARNING AND USING OF TOPOLOGIES OF NEURAL NETWORKS IN MACHINE LEARNING

Abstract

A mechanism is described for facilitating learning and application of neural network topologies in machine learning at autonomous machines. A method of embodiments, as described herein, includes monitoring and detecting structure learning of neural networks relating to machine learning operations at a computing device having a processor, and generating a recursive generative model based on one or more topologies of one or more of the neural networks. The method may further include converting the generative model into a discriminative model.

Claims20

Dependent claims

An apparatus comprising:

detection/observation logic, as facilitated by or at least partially incorporated into a processor, to monitor and detect structure learning of neural networks relating to machine learning operations at the apparatus having the processor;
generative model logic, as facilitated by or at least partially incorporated into the processor, to generate a recursive generative model based on one or more topologies of one or more of the neural networks;
and
discriminative model logic, as facilitated by or at least partially incorporated into the processor, to convert the generative model into a discriminative model.

1 more element

Dependencies are inferred from the claim text.

Facts

Application

15/659,853Filed 26 Jul 2017

Priority

5 May 2017

Published

8 Nov 2018

Term ends

Not estimatedThe source records don’t support an estimate.

Classification12 codes

G06N 3/08
Neural networks: learning methods
G06N 3/045
Architecture, e.g. interconnection topology: combinations of networks
G06N 3/0464
Architecture, e.g. interconnection topology: convolutional networks [CNN, ConvNet]
G06N 3/0475
Architecture, e.g. interconnection topology: generative networks

Efficient learning and using of topologies of neural networks in machine learning

Life of this patent

Efficient learning and using of topologies of neural networks in machine learning

Life of this patent

Abstract

Claims20