- 专利标题： CONVOLUTIONAL NEURAL NETWORK OPTIMIZATION MECHANISM
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申请号： US18435528申请日： 2024-02-07
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公开(公告)号： US20240256825A1公开(公告)日： 2024-08-01
- 发明人: Liwei Ma , Elmoustapha Ould-Ahmed-Vall , Barath Lakshmanan , Ben J. Ashbaugh , Jingyi Jin , Jeremy Bottleson , Mike B. Macpherson , Kevin Nealis , Dhawal Srivastava , Joydeep Ray , Ping T. Tang , Michael S. Strickland , Xiaoming Chen , Anbang Yao , Tatiana Shpeisman , Altug Koker , Abhishek R. Appu
- 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： G06N3/04
- IPC分类号： G06N3/04 ; G06N3/044 ; G06N3/045 ; G06N3/063 ; G06N3/082 ; G06T1/20
摘要：
A library of machine learning primitives is provided to optimize a machine learning model to improve the efficiency of inference operations. In one embodiment a trained convolutional neural network (CNN) model is processed into a trained CNN model via pruning, convolution window optimization, and quantization.
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