$\color{black}\rule{365px}{3px}$
Link to Paper:
“Rethinking the Inception Architecture for Computer Vision” - 2015
arxiv.org
Table of Contents
1. Introduction
$\color{black}\rule{365px}{3px}$
Christian Szegedy | Vincent Vanhoucke | *Sergey Ioffe *| Jonathon Shlens
Contributions
- Developed idea of GoogleNet(Inception-V1)
- What is so special about GoogleNet?
- Although VGGNet has the compelling feature of architectural simplicity, this comes at a high cost: evaluating the network requires a lot of computation.
- On the other hand, the Inception architecture of GoogLeNet was also designed to perform well even under strict constraints on memory and computational budget.
- Improvements from Inception-V1:
- Use of BatchNormalization
- Asymmetric Factorized Convolutions