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deep-learning-book

:book: MIT Deep Learning Book in PDF format

TutorialsML/AI fundamentals
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创建于 2016-04-07 · 更新于 2026-09-29 · 今日第 17061 名
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daviddao/deep-learning-book 排名第 17,061，有 558 个星标。

同类别比较

daviddao/deep-learning-book 排名第 17,061，此处有 8 个同类条目；Tongjilibo/build_MiniLLM_from_scratch 排名第 17,059。

同类别比较
名称排名指标
NicholasGoh/fastapi-mcp-langgraph-template17,056
语言:
Python
星标数:
558
分叉数:
86
PacktPublishing/Building-Agentic-AI-Systems17,057
语言:
Jupyter Notebook
星标数:
558
分叉数:
268
简介:
Building Agentic AI Systems, published by Packt
SkalskiP/sports17,058
语言:
Jupyter Notebook
星标数:
558
分叉数:
41
简介:
Cool experiments at the intersection of Computer Vision and Sports ⚽🏃
Tongjilibo/build_MiniLLM_from_scratch17,059
语言:
Python
星标数:
558
分叉数:
66
简介:
从0到1构建一个MiniLLM (pretrain+sft+dpo实践中)
jacopotagliabue/MLSys-NYU-202217,066
语言:
Jupyter Notebook
星标数:
558
分叉数:
64
简介:
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
TannerGilbert/Tutorials17,077
语言:
Jupyter Notebook
星标数:
557
分叉数:
604
简介:
Code for some of my articles
PacktPublishing/Hands-On-Machine-Learning-with-CPP17,087
语言:
C++
星标数:
556
分叉数:
141
简介:
Hands-On Machine Learning with C++, published by Packt
https-deeplearning-ai/sc-claude-code-files17,099
语言:
Jupyter Notebook
星标数:
556
分叉数:
860
关键参数与规格
关键参数与规格
参数值
类别Tutorials
子类别ML/AI fundamentals
星标数558
分叉数1,899
贡献者1
创建日期2016-04-07
更新日期2026-09-29
1 天星标数0
7 天星标数0
排名17,061
上次排名16,852
排名变化-209
7 天星标排名15,887
上次 7 天星标排名15,892
7 天星标排名变化5
总星标排名17,783
上次总星标排名17,749
总星标排名变化-34
README 摘录

DeepLearningBook MIT Deep Learning Book in PDF format This book was downloaded in HTML form and conviniently joined as a single PDF file for your enjoyment. Please notice the known issues in the web page, especially with regards to some symbols not rendering well or not at all.

常见问题

记录了多少星标和分叉？

daviddao/deep-learning-book 有 558 个星标和 1,899 个分叉。

仓库排名是多少？

daviddao/deep-learning-book 排名第 17,061。

哪个仓库排名最接近？

daviddao/deep-learning-book 与 Tongjilibo/build_MiniLLM_from_scratch 比较，后者排名第 17,059，有 558 个星标。

README

DeepLearningBook

MIT Deep Learning Book in PDF format

This book was downloaded in HTML form and conviniently joined as a single PDF file for your enjoyment. Please notice the known issues in the web page, especially with regards to some symbols not rendering well or not at all.

From http://www.deeplearningbook.org/

An MIT Press book

Ian Goodfellow, Yoshua Bengio and Aaron Courville

The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free. The print version will be available for sale soon.

Citing the book

To cite this book, please use this bibtex entry:

@unpublished{Goodfellow-et-al-2016-Book,
    title={Deep Learning},
    author={Ian Goodfellow, Yoshua Bengio, and Aaron Courville},
    note={Book in preparation for MIT Press},
    url={http://www.deeplearningbook.org},
    year={2016}
}
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