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Goog lenet
1.
Going Deeper with Convolutions Mar
27, 2021 HeeDae Kwon
2.
Contents • 1. Introdution •
2. Realted Work • 3. Architectural Details • 4. GoogLeNet • 5. Training Methodology • 6. Results
3.
Introduction
4.
Realted Work • CNN •
NIN(Network In Network
5.
Architectural Details
6.
GoogLeNet
7.
GoogLeNet
8.
Training Methodology optimizer momentum Learning rate Test
images Validation images Training images Error rate SGD 0.9 4% decrease Every 8 epochs 100K 50K 1.2M Top-1 Top-5
9.
Results
10.
감사합니다
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