Invention Grant
- Patent Title: Neural network training mechanism
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Application No.: US15494826Application Date: 2017-04-24
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Publication No.: US11580361B2Publication Date: 2023-02-14
- Inventor: Gokcen Cilingir , Elmoustapha Ould-Ahmed-Vall , Rajkishore Barik , Kevin Nealis , Xiaoming Chen , Justin E. Gottschlich , Prasoonkumar Surti , Chandrasekaran Sakthivel , Abhishek Appu , John C. Weast , Sara S. Baghsorkhi , Barnan Das , Narayan Biswal , Stanley J. Baran , Nilesh V. Shah , Archie Sharma , Mayuresh M. Varerkar
- 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 ; G06F9/38 ; G06N3/063 ; G06F9/30 ; G06T1/20 ; G06N3/084
Abstract:
An apparatus to facilitate neural network (NN) training is disclosed. The apparatus includes training logic to receive one or more network constraints and train the NN by automatically determining a best network layout and parameters based on the network constraints.
Public/Granted literature
- US20180307981A1 NEURAL NETWORK TRAINING MECHANISM Public/Granted day:2018-10-25
Information query
