发明申请
- 专利标题: EFFICIENT LEARNING AND USING OF TOPOLOGIES OF NEURAL NETWORKS IN MACHINE LEARNING
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申请号: US18053538申请日: 2022-11-08
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公开(公告)号: US20230117143A1公开(公告)日: 2023-04-20
- 发明人: RAANAN YONATAN YEHEZKEL ROHEKAR , Guy Koren , Shami Nisimov , Gal Novik
- 申请人: Intel Corporation
- 申请人地址: US CA Santa Clara
- 专利权人: Intel Corporation
- 当前专利权人: Intel Corporation
- 当前专利权人地址: US CA Santa Clara
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06N3/044 ; G06N3/045 ; G06N7/01
摘要:
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.
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