- 专利标题: METHOD FOR VISUALIZING NEURAL NETWORK MODELS
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申请号: US15857587申请日: 2017-12-28
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公开(公告)号: US20190205728A1公开(公告)日: 2019-07-04
- 发明人: Minwei Feng , Yufei Ren , Yaodong Wang , Li Zhang , Wei Zhang
- 申请人: International Business Machines Corporation
- 主分类号: G06N3/04
- IPC分类号: G06N3/04 ; G06F17/30
摘要:
A method for providing a graphical visualization of a neural network to a user is provided. The method includes generating the graphical visualization of the neural network at least in part by: representing layers of the neural network as respective three-dimensional blocks, wherein at least a first dimension of a given block is proportional to a computational complexity of a layer of the neural network represented by the given block; and representing data flows between the layers of the neural network as respective three-dimensional structures connecting blocks representing the layers of the neural network, wherein a first dimension of a given structure is proportional to each of a first dimension and a second dimension of a data flow represented by the given structure. The method also includes displaying the graphical visualization of the neural network to the user.
公开/授权文献
- US10936938B2 Method for visualizing neural network models 公开/授权日:2021-03-02
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