基础理论开源书入门EN4–8 周★ 25k44 章可站内阅读
fastai fastbook
Practical Deep Learning for Coders 配套笔记本全书
Jeremy Howard · Sylvain Gugger· 25,187 stars
fast.ai 课程配套书的 Jupyter Notebook 版本，用实践优先的方式带你做完计算机视觉、NLP、表格数据等常见深度学习任务。强调先跑通再补概念，适合想尽快建立可运行实验能力、而不是先啃完公式的工程师。
为什么收录 · 补齐英文实战深度学习主线教材，和站内 d2l、LeeDL 形成「理论教材 + 实战 notebook」对照学习路径。
fastai深度学习迁移学习Jupyter实践
这本书强在哪
- 顶级实战深度学习教材的可运行 notebook 版
- 强调 top-down 学习，上手快
- 与理论书互补，适合边做边学
- 社区成熟、练习路径清晰
建议怎么学
- 01按章节顺序跑 notebook，先出结果再回头补概念
- 02每章留下自己的改参实验
- 03需要理论对照时并行《动手学深度学习》
适合谁 / 前置
- Python 基础
- 能跑 Jupyter
学完得到什么
- 掌握 fastai 实用深度学习工作流
- 能完成图像/文本等常见建模实验
- 理解迁移学习与训练循环关键概念
- 建立从 notebook 到可复现实验的习惯
目录
来自站内阅读器镜像；点击章节直接阅读
clean22 章
- 23Your Deep Learning Journeynotebook
- 24From Model to Productionnotebook
- 25Data Ethicsnotebook
- 26Under the Hood: Training a Digit Classifiernotebook
- 27Image Classificationnotebook
- 28Other Computer Vision Problemsnotebook
- 29Training a State-of-the-Art Modelnotebook
- 30Collaborative Filtering Deep Divenotebook
- 31Tabular Modeling Deep Divenotebook
- 32NLP Deep Dive: RNNsnotebook
- 33Data Munging with fastai's Mid-Level APInotebook
- 34A Language Model from Scratchnotebook
- 35Convolutional Neural Networksnotebook
- 36ResNetsnotebook
- 37Application Architectures Deep Divenotebook
- 38The Training Processnotebook
- 39A Neural Net from the Foundationsnotebook
- 40CNN Interpretation with CAMnotebook
- 41A fastai Learner from Scratchnotebook
- 42Concluding Thoughtsnotebook
- 43Creating a Blognotebook
- 44Appendix: Jupyter Notebook 101notebook
Notebook22 章
- 01Your Deep Learning Journeynotebook
- 02From Model to Productionnotebook
- 03Data Ethicsnotebook
- 04Under the Hood: Training a Digit Classifiernotebook
- 05Image Classificationnotebook
- 06Other Computer Vision Problemsnotebook
- 07Training a State-of-the-Art Modelnotebook
- 08Collaborative Filtering Deep Divenotebook
- 09Tabular Modeling Deep Divenotebook
- 10NLP Deep Dive: RNNsnotebook
- 11Data Munging with fastai's Mid-Level APInotebook
- 12A Language Model from Scratchnotebook
- 13Convolutional Neural Networksnotebook
- 14ResNetsnotebook
- 15Application Architectures Deep Divenotebook
- 16The Training Processnotebook
- 17A Neural Net from the Foundationsnotebook
- 18CNN Interpretation with CAMnotebook
- 19A fastai Learner from Scratchnotebook
- 20Concluding Thoughtsnotebook
- 21Creating a Blognotebook
- 22Appendix: Jupyter Notebook 101notebook
策展亮点章节
Getting StartedComputer VisionNLPTabularProduction
仓库数据
Stars25,187
Forks9,482
主要语言Jupyter Notebook
创建2020/2/28
更新2026/8/11
e8baa81d（master）· 许可证 需人工确认 (NOASSERTION)。 上游更新后可通过同步脚本刷新。