# Deep-Learning-with-TensorFlow-book

**Repository Path**: akmxl/Deep-Learning-with-TensorFlow-book

## Basic Information

- **Project Name**: Deep-Learning-with-TensorFlow-book
- **Description**: 来自《TensorFlow深度学习》一书，感谢 @龙良曲 老师
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 2
- **Forks**: 0
- **Created**: 2020-11-13
- **Last Updated**: 2024-06-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# TensorFlow 2.0深度学习开源书(龙书)

基于TensorFlow 2.0正式版！！！
理论与实战结合，非常适合入门学习！！！

- **[纸质书购买链接：京东](https://item.jd.com/12954866.html)** 
- **[纸质书购买链接：淘宝](https://detail.tmall.com/item.htm?spm=a230r.1.14.16.18b460abi8w8jJ&id=625801924474&ns=1&abbucket=9)**

本仓库包含pdf电子书、配套源代码、配套课件等。部分代码已替换为Ipython Notebook形式，感谢这位[童鞋](https://github.com/Relph1119/deeplearning-with-tensorflow-notes)的整理。

[百度网盘下载](https://pan.baidu.com/s/1GgQjhDqSgSfjxqBMsE3RDQ)  提取码：juqs


-  **本书被“机器之心”，“量子位”等权威媒体报导！**

-  **本库在Github趋势日榜单连续多天全球排名第1！**



<p align="center">
  <img src="assets/book-cover.png" align="center" width="600">
  <!-- <img src="assets/1.png" align="center" width="600"> -->
</p>

- 提交错误或者修改等反馈意见，请在Github [Issues](https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book/issues)页面提交

- 联系邮箱(一般问题建议Github issues交流)：liangqu.long AT gmail.com

-  **高校老师索取PPT原素材**等教案，请邮箱联系，并详注院校课程等信息，一般3天内发送邮件回复

- 使用本书本的任何内容时(**仅限非商业用途**)，请注明作者和Github链接


# 合作院校

以下高校已采用本书作为专业教材或参考资料，欢迎更多高校加入！发送邮件即可索取PPT教案。

| <img src="assets/dzkjdx.jpg" width="260" height="250"> | <img src="assets/xbgydx.jpg" width="250" height="250">  | <img src="assets/hnxxxy.jpg" width="250" height="250">  |   |   |
|---|---|---|---|---|
|  <img src="https://p1.ssl.qhimg.com/dmsmty/1080_1041_/t01e0c5a63801c79fd2.jpg" width="250" height="250">  |  <img src="assets/dglg.jpg" width="250" height="250">  |   |   |   |


# “龙书”生态系统

- [纸质书/实体书](https://item.jd.com/12954866.html)

- [介绍短片](https://www.bilibili.com/video/av75331861)

- [English Version](https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book-EN)

- [TensorFlow视频课程](https://study.163.com/course/courseMain.htm?share=2&shareId=480000001847407&courseId=1209092816&_trace_c_p_k2_=9e74eb6f891d47cfaa6f00b5cb5f617c)

- [PyTorch深度学习开源书](https://github.com/dragen1860/Deep-Learning-with-PyTorch-book)

-	更多TensorFlow 2实战案例在[这里](https://github.com/dragen1860/TensorFlow-2.x-Tutorials)


# 简要目录

<p align="center">
  <img src="assets/0.4.目录-双排-1.jpg">
  <img src="assets/0.4.目录-双排-2.jpg">
  <img src="assets/0.4.目录-双排-3.jpg">
</p>



#	配套视频课程

适合零基础、希望快速入门AI的朋友，提供答疑、指导等全方位服务。

- 深度学习与TensorFlow入门实战
https://study.163.com/course/courseMain.htm?share=2&shareId=480000001847407&courseId=1209092816&_trace_c_p_k2_=9e74eb6f891d47cfaa6f00b5cb5f617c
- 深度学习与PyTorch入门实战
https://study.163.com/course/courseMain.htm?share=2&shareId=480000001847407&courseId=1208894818&_trace_c_p_k2_=8d1b10e04bd34d69855bb71da65b0549