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YTGAN: YouTube thumbnail GANerator

Introduction

KAIST CS376 Machine Learning

Final Project - Youtube GANerator

by Woojin Lee, Dongwon Choi, Jeongha Seo, Sihyun Ahn

Final Report https://docs.google.com/document/d/1qYt5e0qHzGD1t92SkOKZ5pQtOtsITWwEfoodB8Gf288/edit?usp=sharing
PPT https://docs.google.com/presentation/d/1pspdktUKwSx3tf10Y9hvMtDlkbq1szGpZ3Xk47uVWtQ/edit?usp=sharing

Generated Images By Final Model During Training

Autos&Vehicles News&Politics

Adjust Model

1. Vanilla DCGAN (News&Politics)

epoch 5 epoch 100
epoch 200 epoch 300
epoch 400 epoch 495

2. Noise to Discriminator Input 0.05 (News&Politics)

epoch 5 epoch 100
epoch 200 epoch 300
epoch 400 epoch 495

3. Noise 0.1 (News&Politics)

epoch 5 epoch 100
epoch 200 epoch 300
epoch 400 epoch 495

4. Noise 0.15 (News&Politics)

epoch 5 epoch 100
epoch 200 epoch 300
epoch 400 epoch 495

5. Noisy Label (News&Politics)

epoch 5 epoch 100
epoch 200 epoch 300
epoch 400 epoch 495

6. Dropout (News&Politics)

**epoch 5 **epoch 100
epoch 200 epoch 300
epoch 400 epoch 495

Loss Graph (News&Politics)

Vanilla DCGAN Noise 0.05
Noise 0.1 Noise 0.15
Noisy Label Dropout

Adjust Learning Rate

Dropout (News&Politics)

1. Learning Rate = 0.001

2. learning rate = 0.0005

3. learning rate = 0.0002

4. learning rate = 0.0001

Loss & Score

Learning Rate = 0.001 Learning Rate = 0.0005
Learning Rate = 0.0002 Learning Rate = 0.0001

Dropout & Noisy Label (News&Politics)

1. Learning Rate = 0.001

2. learning rate = 0.0005

3. learning rate = 0.0002

4. learning rate = 0.0001

Loss & Score

Learning Rate = 0.001 Learning Rate = 0.0005
Learning Rate = 0.0002 Learning Rate = 0.0001

Results

Autos&Vehicles

Film&Animation

News&Politics

About

CS376 assignment

Resources

Readme
Activity

Stars

3 stars

Watchers

1 watching

Forks

2 forks
Report repository

Releases

No releases published

Packages

No packages published

Contributors 2

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