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Mar 15, 2022
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update chapter03, 04 #1

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12 changes: 8 additions & 4 deletions README.md
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# StartDeepLearningWithPytorch

## Summary
| Chapter No. | Title | Content | Dataset | Note |
|-------------|------------------------------------------|-------------------------------------------|----------|-------|
| Chapter01 | Pytorch Train-Test Pipeline 설계 | Image Classification을 통한 딥러닝 파이프라인 이해 | CIFAR-10 | |
| Chapter02 | Project template 관리 및 tensorboard 적용 | Project를 구조적으로 관리하여 재사용성 및 개발편의성 향상 | - | |

| Chapter No. | Title | Content | Dataset | Note |
|-------------|------------------------------------------------|---------------------------------------------------|------------------------------|------|
| Chapter01 | Pytorch Train-Test Pipeline 설계 | Image Classification을 통한 딥러닝 파이프라인 이해 | CIFAR-10 | |
| Chapter02 | Project template 관리 및 tensorboard 적용 | Project를 구조적으로 관리하여 재사용성 및 개발편의성 향상 | - | |
| Chapter03 | Data augmentation and Model Implementation | Image data Augmentation 방식 이해 및 대표 모델 구현 | - | |
| Chapter04 | Custom Dataset and Project Review | Custom dataset을 이용한 Classification 모델 구축 | Fruits and Vegetables Images | |

## Code Review

- [fork해서 Pull Request 보내는 법](https://wayhome25.github.io/git/2017/07/08/git-first-pull-request-story/)
- [fork된 레포지토리 최신상태 유지하는 법](https://jybaek.tistory.com/775)