Construct · 1 fields · 1 citations

inception module: a standalone construct

One name. One construct. A landmark on the map.

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Deep learning

a network block that runs convolutions of several sizes and pooling in parallel on the same input and concatenates the results.

In deep learning, inception module refers to a network block that runs convolutions of several sizes and pooling in parallel on the same input and concatenates the results. This meaning comes from Szegedy (2015) in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).[1]

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Nearby constructs

block3 fields · 6 citationsjingle · one word, three constructs deep learning1 fields · 1 citationsanchor · a standalone construct learning6 fields · 14 citationsjingle · one name, six constructs

References

Szegedy, C., Wei Liu, Yangqing Jia, Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., & Rabinovich, A. (2015). Going deeper with convolutions. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/cvpr.2015.7298594

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