Invention Grant
- Patent Title: Capsule neural networks
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Application No.: US16652536Application Date: 2017-12-15
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Publication No.: US11494609B2Publication Date: 2022-11-08
- Inventor: Geoffrey E. Hinton , Nicholas Myles Wisener Frosst , Sara Sabour Rouh Aghdam
- 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.
- International Application: PCT/US2017/066771 WO 20171215
- International Announcement: WO2019/083553 WO 20190502
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06F17/16 ; G06N3/08

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a neural network that is configured to receive a network input and to generate a network output for the network input. The neural network comprises a plurality of layers arranged in a sequence, including a plurality of capsule layers. Each particular capsule in a particular capsule layer is configured to receive respective inputs including: (i) outputs generated by capsules of a previous capsule layer that is before the particular capsule layer in the sequence, and (ii) final routing factors between capsules of the previous capsule layer and the particular capsule, wherein the final routing factors are generated by a routing subsystem. Each particular capsule in the particular capsule layer is configured to determine a particular capsule output based on the received inputs, wherein the particular capsule output is of dimension greater than one.
Public/Granted literature
- US20200285934A1 CAPSULE NEURAL NETWORKS Public/Granted day:2020-09-10
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