What is recorded here?
Improved Inception-style image classifiers using factorized convolutions and regularization to use computation more efficiently.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
First preprint 2015; year follows CVPR 2016. This is an Inception architecture refinement, not the original convolutional network.
Read the original work
- Szegedy and colleagues: Inception-v3 convolutional architecture — original paper
- Szegedy and colleagues: Inception-v3 convolutional architecture — official company source
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Christian Szegedy; Vincent Vanhoucke; Sergey Ioffe; Jonathon Shlens; Zbigniew Wojna
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.
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English catalogue narrative
Szegedy and colleagues: Inception-v3 convolutional architecture
Improved Inception-style image classifiers using factorized convolutions and regularization to use computation more efficiently.
Scientific scope
First preprint 2015; year follows CVPR 2016. This is an Inception architecture refinement, not the original convolutional network.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Christian Szegedy; Vincent Vanhoucke; Sergey Ioffe; Jonathon Shlens; Zbigniew Wojna
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.