Invention Grant
- Patent Title: Efficient learning and using of topologies of neural networks in machine learning
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Application No.: US15659853Application Date: 2017-07-26
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Publication No.: US11501152B2Publication Date: 2022-11-15
- Inventor: Raanan Yonatan Yehezkel Rohekar , Guy Koren , Shami Nisimov , Gal Novik
- 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: G06N3/08
- IPC: G06N3/08 ; G06N3/04 ; G06N7/00 ; G06T1/20

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.
Public/Granted literature
- US20180322385A1 EFFICIENT LEARNING AND USING OF TOPOLOGIES OF NEURAL NETWORKS IN MACHINE LEARNING Public/Granted day:2018-11-08
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