Invention Grant
- Patent Title: Augmenting neural networks
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Application No.: US17972492Application Date: 2022-10-24
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Publication No.: US11900263B2Publication Date: 2024-02-13
- Inventor: Sherry Moore , Jeremiah Harmsen , Noah Fiedel
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06N3/10
- IPC: G06N3/10 ; G06F8/34 ; G06N3/08 ; G06F18/214 ; G06F18/2137 ; G06F18/21 ; G06N3/044 ; G06N3/047

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting a neural network with additional operations. One of the methods includes maintaining, by a computational graph system that manages execution of computational graphs representing neural network operations for users of the computational graph system, data specifying a plurality of pre-trained neural networks, wherein each of the pre-trained neural networks is a neural network that has been trained on training data to determine trained values of the respective parameters of the neural network; obtaining data specifying a user computational graph representing neural network operations, the user computational graph comprising a plurality of nodes connected by edges; identifying (i) an insertion point after a first node in the user computational graph and (ii) a particular pre-trained neural network from the plurality of pre-trained neural networks; and inserting a remote call node into the user computational graph.
Public/Granted literature
- US20230119229A1 AUGMENTING NEURAL NETWORKS Public/Granted day:2023-04-20
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