Method for training neural network and device thereof
US11823056B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 7, 2020 |
| Grant date | Nov 21, 2023 |
| Priority date | — |
| Expiry date | Sep 27, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30068
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided is a method for training a neural network and a device thereof. The method may train a neural network with three-dimensional (3D) training image data including a plurality of two-dimensional (2D) training image data. The method may include training, at a processor, a first convolutional neural network (CNN) with the plurality of 2D training image data, wherein the first convolutional neural network comprises 2D convolutional layers. The method may further include training, at the processor, a second convolutional neural network with the 3D training image data, wherein the second convolutional neural network comprises the 2D convolutional layers and 3D convolutional layers configured to receive an output of the 2D convolutional layers as an input.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.