Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning on ShortScience.org

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Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Szegedy, Christian and Ioffe, Sergey and Vanhoucke, Vincent
arXiv e-Print archive - 2016 via Local Bibsonomy
Keywords: dblp

Summaries/Notes 4

[link] Summary by Martin Thoma 7 years ago

This paper describes the CNN architecture Inception-v4.

They basically update Inception-v3 to use residual connections (see [He et al](http://www.shortscience.org/paper?bibtexKey=journals/corr/HeZRS15)). They also simplified the architecture as they moved from DistBelief to [TensorFlow](https://www.tensorflow.org/).

## Previous papers

* Inception-v1: [Going deeper with Convolutions](http://www.shortscience.org/paper?bibtexKey=journals/corr/SzegedyLJSRAEVR14)

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