Going Deeper with Convolutions
Szegedy, Christian
and
Liu, Wei
and
Jia, Yangqing
and
Sermanet, Pierre
and
Reed, Scott
and
Anguelov, Dragomir
and
Erhan, Dumitru
and
Vanhoucke, Vincent
and
Rabinovich, Andrew
arXiv e-Print archive - 2014 via Local Bibsonomy
Keywords:
dblp
This paper introduces the GoogLeNet Inception Architecture The major part of this paper is the *Inception Module* which takes convolutions at multiple layers and provides a good receptive field as well as reducing the overall number of parameters.
