SlideShare a Scribd company logo
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Going Deeper with
Convolutions
Mar 27, 2021
HeeDae Kwon
Contents
• 1. Introdution
• 2. Realted Work
• 3. Architectural Details
• 4. GoogLeNet
• 5. Training Methodology
• 6. Results
Introduction
Realted Work
• CNN
• NIN(Network In Network
Architectural Details
GoogLeNet
GoogLeNet
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
Results
감사합니다

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