| 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 |
-
Notifications
You must be signed in to change notification settings - Fork 2
UbinetLab/StartDeepLearningWithPytorch
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
No description or website provided.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published