書本章節索引
書本章節索引(The Book)

課程教材是《Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD》。可以買紙本或 Kindle,也可以免費在線上讀。全書以 Jupyter notebook 寫成,每一章的程式碼都能自己執行。
| 方式 | 用途 |
|---|---|
| Colab | 雲端執行 notebook,可改程式、跑程式 |
| nbviewer | 只讀不跑,適合純閱讀 |
章節與課程對照
| 章 | 主題 | 對應課 |
|---|---|---|
| 1 | Intro 入門 | L01 |
| 2 | Production 上線部署 | L02 |
| 3 | Ethics 資料倫理 | L08A |
| 4 | MNIST Basics 神經網路基礎 | L03、L05 |
| 5–7 | Pet Breeds、Multi-Category、Sizing and TTA | 延伸閱讀 |
| 8 | Collab 協同過濾 | L07、L08 |
| 9 | Tabular 表格資料 | L05、L06 |
| 10 | NLP | L04 |
| 11–12 | Mid-Level API、NLP Deep-Dive | 延伸閱讀 |
| 13 | Convolutions 卷積 | L08 |
| 14–20 | ResNet、架構細節、優化器、從零基礎、GradCAM、Learner、結語 | Part 2 相關 |
所有章節連結
Colab
- Google Colab
- Chapter 1, Intro
- Chapter 2, Production
- Chapter 3, Ethics
- Chapter 4, MNIST Basics
- Chapter 5, Pet Breeds
- Chapter 6, Multi-Category
- Chapter 7, Sizing and TTA
- Chapter 8, Collab
- Chapter 9, Tabular
- Chapter 10, NLP
- Chapter 11, Mid-Level API
- Chapter 12, NLP Deep-Dive
- Chapter 13, Convolutions
- Chapter 14, Resnet
- Chapter 15, Arch Details
- Chapter 16, Optimizers and Callbacks
- Chapter 17, Foundations
- Chapter 18, GradCAM
- Chapter 19, Learner
- Chapter 20, Conclusion
nbviewer
- nbviewer
- Chapter 1, Intro
- Chapter 2, Production
- Chapter 3, Ethics
- Chapter 4, MNIST Basics
- Chapter 5, Pet Breeds
- Chapter 6, Multi-Category
- Chapter 7, Sizing and TTA
- Chapter 8, Collab
- Chapter 9, Tabular
- Chapter 10, NLP
- Chapter 11, Mid-Level API
- Chapter 12, NLP Deep-Dive
- Chapter 13, Convolutions
- Chapter 14, Resnet
- Chapter 15, Arch Details
- Chapter 16, Optimizers and Callbacks
- Chapter 17, Foundations
- Chapter 18, GradCAM
- Chapter 19, Learner
- Chapter 20, Conclusion