Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Paper summary 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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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 Bibsonomy
Keywords: dblp


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